Data Quality Ratings



Organisations of many kinds use GDP data. Governments, Non-Governmental Organisations, Civil Societies, Businesses and a thousand others trust "official" economic data and use it as if it were holy writ. Highly regarded companies like global consultants McKinsey produce lists of the fastest growing countries to admire and perhaps invest in. Government aid is distributed, product plans put together, and factories built using such data as authoritative ammunition.

Yet few bother to inquire whether the GDP data used is of reasonable quality. In reality a great deal of GDP data is of such poor quality it should never be used to site an ice cream stall let alone be part of an elaborate business plan.


Measuring Data Quality

World Economics has spent many years studying the problems associated with GDP and population data. We have found many fault lines. Data is often out of date. Giant areas of economic activity not included. Half newly born children not registered. Statistics offices underfunded and unable to run good quality surveys. Data spoiled by politicians trying to gain an edge. Data simply not published to avoid political fallout. And so on.


GDP and Population Data Quality: Good data + Bad data = unreliable data

World Economics has developed the Global GDP Data Quality Ratings to review the usefulness of official GDP data of individual countries. The Ratings currently cover five factors to determine data quality. Each factor is evaluated to provide country scores which are then normalised using the standard deviation of the data for each factor and combined into the DQR score using an average aggregate to reflect the importance of each of the individual factors. These five factors used to judge data quality are: Base Year used to calculate the GDP data (chained or years out of date), Standard of National Accounts (SNA) applied, estimated size of the Informal Economy, a proxy for Resources Devoted to Measuring Economic Activity and a proxy measure for likely Government Interference in Economic Data production. See expanded ranking table with source data.

The accuracy of population data varies widely across countries. In order to take account of the problems and to assess the relative accuracy of population estimates World Economics has produced a Population Data Quality Rating (PDQR). The ratings cover three factors: Census year, Statistical capacity and Registration of live births. See expanded ranking table with source data.


GDP Data Quality Ratings

Filter:
All
Rank Country World Economics
Data Quality
Index
World Economics
Data Grade
(A-E)
1 Switzerland 98.6 A
2 Netherlands 97.9 A
3 New Zealand 97.9 A
4 Denmark 97.6 A
5 Finland 97.4 A
6 Luxembourg 97.4 A
7 Sweden 97.2 A
8 Germany 97.0 A
9 Norway 97.0 A
10 Canada 96.6 A
11 Ireland 96.6 A
12 Austria 96.5 A
13 Australia 96.3 A
14 United Kingdom 96.3 A
15 Japan 95.6 A
16 Iceland 95.5 A
17 United States 95.0 A
18 France 94.9 A
19 Belgium 93.7 A
20 Portugal 92.7 A
21 Singapore 92.3 A
22 Spain 90.8 A
23 Slovenia 89.8 A
24 Taiwan 89.7 A
25 Korea, Rep. 89.6 A
26 Israel 89.1 A
27 Hong Kong 88.6 A
28 Chile 88.4 A
29 Italy 88.4 A
30 Cyprus 87.3 A
31 Malta 86.8 B
32 Costa Rica 86.6 B
33 Mauritius 86.5 B
34 Greece 86.4 B
35 Romania 84.6 B
36 Poland 84.4 B
37 United Arab Emirates 83.7 B
38 Croatia 83.6 B
39 Bulgaria 82.2 B
40 Estonia 81.2 B
41 Mongolia 81.1 B
42 Latvia 81.0 B
43 Bahamas, The 80.6 B
44 Lithuania 80.4 B
45 Oman 80.0 B
46 Slovak Republic 80.0 B
47 Uruguay 80.0 B
48 Armenia 79.8 B
49 Moldova 78.8 B
50 Brazil 78.3 B
51 North Macedonia 77.7 B
52 Colombia 77.4 B
53 South Africa 77.0 B
54 Dominican Republic 76.9 B
55 Georgia 75.8 B
56 Jordan 75.8 B
57 Malaysia 74.7 B
58 Türkiye 74.4 B
59 Hungary 74.0 B
60 Serbia 74.0 B
61 Qatar 73.8 B
62 Bahrain 73.7 C
63 Indonesia 73.7 C
64 Malawi 73.2 C
65 China 73.0 C
66 Namibia 72.9 C
67 Morocco 72.6 C
68 Philippines 72.5 C
69 Saudi Arabia 72.5 C
70 Botswana 72.0 C
71 Ukraine 71.9 C
72 Algeria 71.6 C
73 Ghana 71.4 C
74 Sri Lanka 71.2 C
75 Suriname 71.0 C
76 Mexico 70.7 C
77 Rwanda 70.6 C
78 Belarus 69.7 C
79 Burkina Faso 69.5 C
80 Russia 69.4 C
81 Albania 69.2 C
82 Togo 68.8 C
83 Senegal 68.5 C
84 Niger 68.3 C
85 Argentina 68.0 C
86 El Salvador 68.0 C
87 Lesotho 68.0 C
88 Cote d'Ivoire 67.9 C
89 Benin 67.6 C
90 India 67.6 C
91 Guatemala 67.4 D
92 Mauritania 67.3 D
93 Kenya 67.1 D
94 Uganda 67.1 D
95 Pakistan 66.2 D
96 Turkmenistan 66.1 D
97 Comoros 66.0 D
98 Kuwait 65.8 D
99 Lebanon 65.7 D
100 Gambia 65.4 D
101 Kyrgyzstan 64.5 D
102 Mozambique 64.2 D
103 Peru 64.2 D
104 Tanzania 63.9 D
105 Tunisia 63.7 D
106 Paraguay 63.6 D
107 Ecuador 63.1 D
108 Kazakhstan 63.0 D
109 Bosnia and Herzegovina 62.2 D
110 Cameroon 61.9 D
111 Eswatini 61.7 D
112 Thailand 61.6 D
113 Sierra Leone 61.5 D
114 Zambia 61.0 D
115 Uzbekistan 60.6 D
116 Azerbaijan 59.2 D
117 Panama 59.1 D
118 Myanmar 58.4 D
119 Egypt 57.3 D
120 Nicaragua 57.1 D
121 Tajikistan 56.9 E
122 Vietnam 56.8 E
123 Jamaica 55.9 E
124 Guyana 55.8 E
125 Bangladesh 54.9 E
126 Liberia 54.9 E
127 Bhutan 54.6 E
128 Papua New Guinea 53.7 E
129 Nigeria 53.5 E
130 Haiti 53.0 E
131 Laos 52.6 E
132 Ethiopia 52.3 E
133 Zimbabwe 52.1 E
134 Guinea-Bissau 51.5 E
135 Nepal 51.5 E
136 Madagascar 49.7 E
137 Guinea 48.0 E
138 Burundi 44.8 E
139 Chad 44.6 E
140 Mali 44.2 E
141 Angola 41.9 E
142 Libya 41.6 E
143 Congo, Rep. 41.1 E
144 Cambodia 40.7 E
145 Honduras 40.7 E
146 Yemen, Rep. 40.1 E
147 Central African Republic 38.6 E
148 Congo, Dem. Rep 37.1 E
149 Gabon 36.6 E
150 Bolivia 35.7 E
151 Sudan 31.5 E
152 Afghanistan 28.8 E


More: For more data on individual countries click the country name.



Population Data Quality Ratings

Filter:
All
Rank Country World Economics
Data Quality
Index
World Economics
Data Grade
(A-E)
1 Ireland 100.0 A
2 Kuwait 100.0 A
3 Australia 99.2 A
4 Canada 99.2 A
5 United Kingdom 99.2 A
6 Armenia 98.7 A
7 Japan 98.5 A
8 Oman 98.5 A
9 Qatar 98.5 A
10 Singapore 98.5 A
11 United States 98.5 A
12 Saudi Arabia 98.3 A
13 Kyrgyzstan 97.8 A
14 Korea, Rep. 97.7 A
15 Mauritius 97.1 A
16 New Zealand 97.0 A
17 Slovenia 97.0 A
18 Mongolia 96.8 A
19 Russia 95.7 A
20 Taiwan 95.6 A
21 Brazil 95.5 A
22 France 95.4 A
23 Hong Kong 95.4 A
24 Thailand 95.1 A
25 Türkiye 95.1 A
26 Kazakhstan 95.0 A
27 Poland 95.0 A
28 China 94.5 A
29 Belarus 94.4 A
30 Argentina 94.2 A
31 Mexico 93.9 A
32 Malaysia 93.8 B
33 North Macedonia 93.6 B
34 Chile 93.4 B
35 Philippines 93.3 B
36 Turkmenistan 92.9 B
37 Ukraine 92.9 B
38 Colombia 92.8 B
39 Egypt 92.5 B
40 Azerbaijan 92.4 B
41 Italy 92.4 B
42 Moldova 92.1 B
43 Tajikistan 92.1 B
44 Vietnam 91.8 B
45 Austria 91.6 B
46 Belgium 91.6 B
47 Cyprus 91.6 B
48 Denmark 91.6 B
49 Germany 91.6 B
50 Greece 91.6 B
51 Iceland 91.6 B
52 Luxembourg 91.6 B
53 Malta 91.6 B
54 Netherlands 91.6 B
55 Norway 91.6 B
56 Portugal 91.6 B
57 Spain 91.6 B
58 Sweden 91.6 B
59 Peru 91.5 B
60 Georgia 91.2 B
61 Indonesia 91.0 B
62 Bahamas, The 90.9 C
63 Bahrain 90.9 C
64 Finland 90.9 C
65 Guatemala 90.9 C
66 Switzerland 90.9 C
67 United Arab Emirates 90.9 C
68 Israel 90.1 C
69 Panama 90.0 C
70 Costa Rica 89.8 C
71 Jordan 89.8 C
72 Serbia 89.4 C
73 Croatia 89.0 C
74 Albania 88.9 C
75 Bulgaria 88.8 C
76 Romania 88.5 C
77 Bhutan 88.2 C
78 Lithuania 87.9 C
79 Sri Lanka 87.8 C
80 Ghana 87.6 C
81 Uruguay 87.6 C
82 Mali 87.1 C
83 Algeria 86.9 C
84 Morocco 86.6 C
85 Burkina Faso 85.9 C
86 Tunisia 85.7 C
87 South Africa 85.6 C
88 Bosnia and Herzegovina 85.1 C
89 Myanmar 85.1 C
90 India 84.8 C
91 Sierra Leone 84.8 C
92 Cambodia 84.4 D
93 Malawi 84.4 D
94 Rwanda 84.2 D
95 Bolivia 84.1 D
96 Honduras 83.9 D
97 Dominican Republic 83.8 D
98 Suriname 83.6 D
99 El Salvador 83.3 D
100 Comoros 83.0 D
101 Benin 82.7 D
102 Kenya 82.7 D
103 Madagascar 82.6 D
104 Cote d'Ivoire 82.5 D
105 Latvia 82.3 D
106 Senegal 82.2 D
107 Jamaica 82.1 D
108 Laos 81.7 D
109 Nepal 81.5 D
110 Ecuador 81.4 D
111 Eswatini 81.1 D
112 Guyana 81.1 D
113 Togo 81.0 D
114 Estonia 80.4 D
115 Paraguay 79.7 D
116 Hungary 79.6 D
117 Mozambique 79.6 D
118 Slovak Republic 79.6 D
119 Botswana 79.1 D
120 Gabon 79.1 D
121 Pakistan 79.1 D
122 Gambia 79.0 E
123 Niger 79.0 E
124 Lesotho 77.9 E
125 Burundi 77.6 E
126 Namibia 77.5 E
127 Guinea 76.5 E
128 Nigeria 76.1 E
129 Congo, Rep. 75.6 E
130 Bangladesh 74.8 E
131 Uganda 74.6 E
132 Mauritania 74.3 E
133 Liberia 74.2 E
134 Zimbabwe 73.9 E
135 Sudan 73.7 E
136 Nicaragua 73.4 E
137 Haiti 73.2 E
138 Libya 72.8 E
139 Zambia 71.9 E
140 Tanzania 70.4 E
141 Guinea-Bissau 69.1 E
142 Cameroon 68.8 E
143 Uzbekistan 68.5 E
144 Angola 68.0 E
145 Chad 66.2 E
146 Papua New Guinea 64.8 E
147 Central African Republic 61.9 E
148 Ethiopia 58.7 E
149 Yemen, Rep. 58.0 E
150 Afghanistan 47.4 E
151 Congo, Dem. Rep 47.2 E
152 Lebanon 28.7 E






GDP Per Capita Data Quality Ratings

As differences exist in the quality of both GDP and population data between countries. When GDP and population data of poor quality are combined to produce GDP per capita data the accuracy of the resulting ratio is further diminished. The ratings table below attemps to show which countries data can be trusted for GDP per Capita data. A country's GDP per capita data can only be as good as the weakest of it's components.

Filter:
All
Rank
Country World Economics Data
Grade
(A-E)
World Economics GDP
Data Quality Rating
Index
World Economics Population
Data Quality Rating
Index
1 New Zealand A 97.9 97.0
2 Canada A 96.6 99.2
3 Ireland A 96.6 100.0
4 Australia A 96.3 99.2
5 United Kingdom A 96.3 99.2
6 Japan A 95.6 98.5
7 United States A 95.0 98.5
8 France A 94.9 95.4
9 Singapore A 92.3 98.5
10 Slovenia A 89.8 97.0
11 Taiwan A 89.7 95.6
12 Korea, Rep. A 89.6 97.7
13 Hong Kong A 88.6 95.4
14 Austria B 96.5 91.6
15 Belgium B 93.7 91.6
16 Denmark B 97.6 91.6
17 Germany B 97.0 91.6
18 Iceland B 95.5 91.6
19 Luxembourg B 97.4 91.6
20 Netherlands B 97.9 91.6
21 Norway B 97.0 91.6
22 Portugal B 92.7 91.6
23 Sweden B 97.2 91.6
24 Spain B 90.8 91.6
25 Chile B 88.4 93.4
26 Italy B 88.4 92.4
27 Cyprus B 87.3 91.6
28 Malta B 86.8 91.6
29 Mauritius B 86.5 97.1
30 Greece B 86.4 91.6
31 Poland B 84.4 95.0
32 Mongolia B 81.1 96.8
33 Oman B 80.0 98.5
34 Armenia B 79.8 98.7
35 Moldova B 78.8 92.1
36 Brazil B 78.3 95.5
37 North Macedonia B 77.7 93.6
38 Colombia B 77.4 92.8
39 Georgia B 75.8 91.2
40 Malaysia B 74.7 93.8
41 Türkiye B 74.4 95.1
42 Qatar B 73.8 98.5
43 Finland C 97.4 90.9
44 Switzerland C 98.6 90.9
45 Israel C 89.1 90.1
46 Costa Rica C 86.6 89.8
47 Romania C 84.6 88.5
48 United Arab Emirates C 83.7 90.9
49 Croatia C 83.6 89.0
50 Bulgaria C 82.2 88.8
51 Bahamas, The C 80.6 90.9
52 Lithuania C 80.4 87.9
53 Uruguay C 80.0 87.6
54 South Africa C 77.0 85.6
55 Jordan C 75.8 89.8
56 Serbia C 74.0 89.4
57 Bahrain C 73.7 90.9
58 Indonesia C 73.7 91.0
59 China C 73.0 94.5
60 Morocco C 72.6 86.6
61 Philippines C 72.5 93.3
62 Saudi Arabia C 72.5 98.3
63 Ukraine C 71.9 92.9
64 Algeria C 71.6 86.9
65 Ghana C 71.4 87.6
66 Sri Lanka C 71.2 87.8
67 Mexico C 70.7 93.9
68 Belarus C 69.7 94.4
69 Burkina Faso C 69.5 85.9
70 Russia C 69.4 95.7
71 Albania C 69.2 88.9
72 Argentina C 68.0 94.2
73 India C 67.6 84.8
74 Latvia D 81.0 82.3
75 Estonia D 81.2 80.4
76 Slovak Republic D 80.0 79.6
77 Dominican Republic D 76.9 83.8
78 Hungary D 74.0 79.6
79 Malawi D 73.2 84.4
80 Botswana D 72.0 79.1
81 Suriname D 71.0 83.6
82 Rwanda D 70.6 84.2
83 Togo D 68.8 81.0
84 Senegal D 68.5 82.2
85 El Salvador D 68.0 83.3
86 Cote d'Ivoire D 67.9 82.5
87 Benin D 67.6 82.7
88 Guatemala D 67.4 90.9
89 Kenya D 67.1 82.7
90 Pakistan D 66.2 79.1
91 Turkmenistan D 66.1 92.9
92 Comoros D 66.0 83.0
93 Kuwait D 65.8 100.0
94 Kyrgyzstan D 64.5 97.8
95 Mozambique D 64.2 79.6
96 Peru D 64.2 91.5
97 Tunisia D 63.7 85.7
98 Paraguay D 63.6 79.7
99 Ecuador D 63.1 81.4
100 Kazakhstan D 63.0 95.0
101 Bosnia and Herzegovina D 62.2 85.1
102 Eswatini D 61.7 81.1
103 Thailand D 61.6 95.1
104 Sierra Leone D 61.5 84.8
105 Azerbaijan D 59.2 92.4
106 Panama D 59.1 90.0
107 Myanmar D 58.4 85.1
108 Egypt D 57.3 92.5
109 Namibia E 72.9 77.5
110 Niger E 68.3 79.0
111 Lesotho E 68.0 77.9
112 Mauritania E 67.3 74.3
113 Uganda E 67.1 74.6
114 Gambia E 65.4 79.0
115 Tanzania E 63.9 70.4
116 Cameroon E 61.9 68.8
117 Zambia E 61.0 71.9
118 Uzbekistan E 60.6 68.5
119 Nicaragua E 57.1 73.4
120 Tajikistan E 56.9 92.1
121 Vietnam E 56.8 91.8
122 Jamaica E 55.9 82.1
123 Guyana E 55.8 81.1
124 Bangladesh E 54.9 74.8
125 Liberia E 54.9 74.2
126 Bhutan E 54.6 88.2
127 Papua New Guinea E 53.7 64.8
128 Nigeria E 53.5 76.1
129 Haiti E 53.0 73.2
130 Laos E 52.6 81.7
131 Ethiopia E 52.3 58.7
132 Zimbabwe E 52.1 73.9
133 Guinea-Bissau E 51.5 69.1
134 Nepal E 51.5 81.5
135 Madagascar E 49.7 82.6
136 Guinea E 48.0 76.5
137 Burundi E 44.8 77.6
138 Chad E 44.6 66.2
139 Mali E 44.2 87.1
140 Angola E 41.9 68.0
141 Libya E 41.6 72.8
142 Congo, Rep. E 41.1 75.6
143 Cambodia E 40.7 84.4
144 Honduras E 40.7 83.9
145 Yemen, Rep. E 40.1 58.0
146 Central African Republic E 38.6 61.9
147 Congo, Dem. Rep E 37.1 47.2
148 Gabon E 36.6 79.1
149 Bolivia E 35.7 84.1
150 Sudan E 31.5 73.7
151 Afghanistan E 28.8 47.4
152 Lebanon E 65.7 28.7



Please read our Terms of Service and Disclaimer relating to data on this page.










 










Download Data











Key Insights




Methodologies and Concepts




Data Quality Key

  • Data Quality Index numbers shown on a scale of 0-100.
  • 0 = Poor, 100 = Excelent.
  • Grade definitions:
     A: As good as it gets
     B: Good
     C: Use with caution
     D: Poor
     E: Extremely poor quality