Dataset Viewer
Unnamed: 0
int64 0
1.4k
| ISO3
stringlengths 3
3
| Country
stringlengths 4
21
| Year
int64 2.01k
2.02k
| GDP_Per_Capita
float64 217
124k
| Temp_Change
float64 -0.07
3.94
โ | Investment_Percent
float64 -0.52
7.83
| g20
bool 2
classes | color_code
stringclasses 4
values |
|---|---|---|---|---|---|---|---|---|
0
|
AFG
|
Afghanistan
| 2,010
| 554.5952
| 1.896
| 0.113937
| false
|
#9A381D
|
1
|
AGO
|
Angola
| 2,010
| 3,496.784796
| 1.553
| 0.357306
| false
|
#9A381D
|
2
|
ALB
|
Albania
| 2,010
| 4,094.348386
| 1.524
| 0.011132
| false
|
#9A381D
|
3
|
ARE
|
United Arab Emirates
| 2,010
| 34,165.91331
| 1.706
| 0
| false
|
#9A381D
|
4
|
ARG
|
Argentina
| 2,010
| 10,385.96443
| 0.352
| 0
| true
|
#505693
|
5
|
ARM
|
Armenia
| 2,010
| 3,143.029202
| 3.055
| 0
| false
|
#9A381D
|
6
|
AUS
|
Australia
| 2,010
| 52,134.30885
| 0.874
| 1.458224
| true
|
#505693
|
7
|
AUT
|
Austria
| 2,010
| 46,903.76159
| 0.912
| 1.144677
| true
|
#505693
|
8
|
AZE
|
Azerbaijan
| 2,010
| 5,843.533768
| 2.606
| 0.026846
| false
|
#9A381D
|
9
|
BDI
|
Burundi
| 2,010
| 222.660589
| null | 0.239584
| false
|
#9A381D
|
10
|
BEL
|
Belgium
| 2,010
| 44,184.94635
| 0.465
| 2.446164
| true
|
#46725D
|
11
|
BFA
|
Burkina Faso
| 2,010
| 627.270348
| 1.597
| 0
| false
|
#9A381D
|
12
|
BGD
|
Bangladesh
| 2,010
| 776.859577
| 1.099
| 0.079092
| false
|
#505693
|
13
|
BGR
|
Bulgaria
| 2,010
| 6,853.002854
| 1.585
| 1.338118
| true
|
#9A381D
|
14
|
BHR
|
Bahrain
| 2,010
| 21,186.81433
| 2.243
| 0.115947
| false
|
#9A381D
|
15
|
BHS
|
Bahamas, The
| 2,010
| 27,046.65767
| 0.649
| 1.970701
| false
|
#505693
|
16
|
BLR
|
Belarus
| 2,010
| 6,033.686239
| 1.684
| 0.294143
| false
|
#9A381D
|
17
|
BOL
|
Bolivia
| 2,010
| 1,922.049531
| 0.76
| 0
| false
|
#505693
|
18
|
BRA
|
Brazil
| 2,010
| 11,249.46454
| 1.349
| 0
| true
|
#505693
|
19
|
BTN
|
Bhutan
| 2,010
| 2,194.126452
| 1.387
| 0
| false
|
#505693
|
20
|
BWA
|
Botswana
| 2,010
| 6,041.754284
| 1.423
| 0
| false
|
#505693
|
21
|
CAN
|
Canada
| 2,010
| 47,562.08343
| 3.178
| 1.407522
| true
|
#9A381D
|
22
|
CHE
|
Switzerland
| 2,010
| 76,531.37294
| 0.683
| 1.188427
| false
|
#505693
|
23
|
CHL
|
Chile
| 2,010
| 12,767.78121
| 0.209
| 0.074932
| false
|
#505693
|
24
|
CHN
|
China
| 2,010
| 4,550.453108
| 1.192
| 0.611536
| true
|
#505693
|
25
|
CHN
|
Hong Kong SAR, China
| 2,010
| 32,549.99823
| 1.192
| 0.611536
| false
|
#505693
|
26
|
CHN
|
Macao SAR, China
| 2,010
| 50,676.49474
| 1.192
| 0.611536
| false
|
#505693
|
27
|
COG
|
Congo, Rep.
| 2,010
| 2,962.762254
| 1.554
| 0.029829
| false
|
#9A381D
|
28
|
COL
|
Colombia
| 2,010
| 6,394.198705
| 1.166
| 1.056972
| false
|
#505693
|
29
|
CPV
|
Cabo Verde
| 2,010
| 3,192.3921
| null | 0.392534
| false
|
#9A381D
|
30
|
CRI
|
Costa Rica
| 2,010
| 8,147.243985
| 0.964
| 0
| false
|
#505693
|
31
|
CYP
|
Cyprus
| 2,010
| 31,105.39844
| 2.231
| 0.600721
| true
|
#9A381D
|
32
|
CZE
|
Czechia
| 2,010
| 19,960.06849
| 0.646
| 1.976774
| false
|
#505693
|
33
|
DEU
|
Germany
| 2,010
| 41,572.45595
| 0.432
| 1.122056
| true
|
#505693
|
34
|
DNK
|
Denmark
| 2,010
| 58,041.39844
| 0.055
| 0.822452
| true
|
#505693
|
35
|
DOM
|
Dominican Republic
| 2,010
| 5,509.566837
| 1.519
| 0
| false
|
#9A381D
|
36
|
DZA
|
Algeria
| 2,010
| 4,495.920448
| 2.499
| 0
| false
|
#9A381D
|
37
|
EGY
|
Egypt, Arab Rep.
| 2,010
| 2,509.772034
| 2.518
| 0.107826
| false
|
#9A381D
|
38
|
ESP
|
Spain
| 2,010
| 30,532.48051
| 1.085
| 2.065239
| true
|
#46725D
|
39
|
EST
|
Estonia
| 2,010
| 14,663.04461
| 0.77
| -0.5176
| true
|
#505693
|
40
|
ETH
|
Ethiopia
| 2,010
| 335.438495
| 1.54
| 0
| false
|
#9A381D
|
41
|
FIN
|
Finland
| 2,010
| 46,505.30318
| 0.482
| 0.552771
| true
|
#505693
|
42
|
FJI
|
Fiji
| 2,010
| 3,469.165917
| 1.211
| 0
| false
|
#505693
|
43
|
FRA
|
France
| 2,010
| 40,676.06479
| 0.576
| 1.987983
| true
|
#505693
|
44
|
FSM
|
Micronesia, Fed. Sts.
| 2,010
| 2,760.01134
| 0.502
| 0.443768
| false
|
#505693
|
45
|
GBR
|
United Kingdom
| 2,010
| 39,693.19387
| 0.196
| 1.913168
| true
|
#505693
|
46
|
GEO
|
Georgia
| 2,010
| 3,233.295943
| 2.738
| 1.13649
| false
|
#9A381D
|
47
|
GNQ
|
Equatorial Guinea
| 2,010
| 14,905.51343
| 1.246
| 0
| false
|
#505693
|
48
|
GRC
|
Greece
| 2,010
| 26,716.64883
| 1.801
| 1.559851
| true
|
#9A381D
|
49
|
GTM
|
Guatemala
| 2,010
| 2,852.547327
| 1.014
| 0
| false
|
#505693
|
50
|
HND
|
Honduras
| 2,010
| 1,874.271704
| 1.06
| 0
| false
|
#505693
|
51
|
HRV
|
Croatia
| 2,010
| 14,124.81084
| 1.128
| 1.228794
| true
|
#505693
|
52
|
HUN
|
Hungary
| 2,010
| 13,217.5046
| 1.08
| 1.15824
| true
|
#505693
|
53
|
IDN
|
Indonesia
| 2,010
| 3,094.44309
| 1.009
| 0.220625
| true
|
#505693
|
54
|
IRL
|
Ireland
| 2,010
| 48,663.60044
| 0.164
| 1.913378
| true
|
#505693
|
55
|
IRN
|
Iran, Islamic Rep.
| 2,010
| 6,458.573936
| 2.342
| 0
| false
|
#9A381D
|
56
|
ISL
|
Iceland
| 2,010
| 43,237.07295
| 1.468
| 1.192318
| false
|
#505693
|
57
|
ISR
|
Israel
| 2,010
| 31,266.60532
| 2.635
| 0.618124
| false
|
#9A381D
|
58
|
ITA
|
Italy
| 2,010
| 36,035.645
| 0.946
| 1.671094
| true
|
#505693
|
59
|
JAM
|
Jamaica
| 2,010
| 4,835.793638
| 1.252
| 0.061772
| false
|
#505693
|
60
|
JOR
|
Jordan
| 2,010
| 3,914.701234
| 2.889
| 0.01713
| false
|
#9A381D
|
61
|
JPN
|
Japan
| 2,010
| 44,968.15623
| 1.134
| 2.284293
| true
|
#46725D
|
62
|
KAZ
|
Kazakhstan
| 2,010
| 9,070.488253
| 1.549
| 0.19328
| false
|
#9A381D
|
63
|
KEN
|
Kenya
| 2,010
| 1,093.638961
| 1.334
| 0.176597
| false
|
#505693
|
64
|
KGZ
|
Kyrgyz Republic
| 2,010
| 880.037775
| 1.611
| 0
| false
|
#9A381D
|
65
|
KHM
|
Cambodia
| 2,010
| 782.695732
| 1.462
| 0
| false
|
#505693
|
66
|
KIR
|
Kiribati
| 2,010
| 1,438.02733
| 0.988
| 0
| false
|
#505693
|
67
|
KOR
|
Korea, Rep.
| 2,010
| 23,087.22564
| 0.792
| 0.406136
| false
|
#505693
|
68
|
KWT
|
Kuwait
| 2,010
| 39,213.53715
| 2.692
| 0
| false
|
#9A381D
|
69
|
LBN
|
Lebanon
| 2,010
| 7,695.245415
| 2.622
| 0.005527
| false
|
#9A381D
|
70
|
LBR
|
Liberia
| 2,010
| 497.020365
| 1.645
| 0
| false
|
#9A381D
|
71
|
LTU
|
Lithuania
| 2,010
| 11,987.50841
| 0.973
| 2.678611
| true
|
#46725D
|
72
|
LUX
|
Luxembourg
| 2,010
| 110,885.9914
| 0.553
| 1.67656
| true
|
#505693
|
73
|
LVA
|
Latvia
| 2,010
| 11,420.994
| 0.915
| 0.594083
| true
|
#505693
|
74
|
MDA
|
Moldova
| 2,010
| 2,436.799359
| 1.581
| 0.147899
| false
|
#9A381D
|
75
|
MDG
|
Madagascar
| 2,010
| 459.375408
| 1.305
| 0
| false
|
#505693
|
76
|
MDV
|
Maldives
| 2,010
| 7,158.061411
| 0.885
| 0
| false
|
#505693
|
77
|
MHL
|
Marshall Islands
| 2,010
| 3,001.319829
| 0.752
| 4.986554
| false
|
#46725D
|
78
|
MKD
|
North Macedonia
| 2,010
| 4,577.688755
| 1.644
| 0
| false
|
#9A381D
|
79
|
MLT
|
Malta
| 2,010
| 21,799.16274
| 1.537
| 3.765939
| true
|
#A46D13
|
80
|
MMR
|
Myanmar
| 2,010
| 765.241889
| 1.438
| 0
| false
|
#505693
|
81
|
MNG
|
Mongolia
| 2,010
| 2,660.28811
| 0.575
| 0
| false
|
#505693
|
82
|
MUS
|
Mauritius
| 2,010
| 8,000.376432
| 1.262
| 0.960004
| false
|
#505693
|
83
|
MYS
|
Malaysia
| 2,010
| 8,880.109965
| 1.235
| 0
| false
|
#505693
|
84
|
NAM
|
Namibia
| 2,010
| 5,445.38292
| 1.844
| 0.772222
| false
|
#9A381D
|
85
|
NIC
|
Nicaragua
| 2,010
| 1,495.737186
| 0.998
| 0
| false
|
#505693
|
86
|
NLD
|
Netherlands
| 2,010
| 50,999.74512
| 0.338
| 3.261956
| true
|
#46725D
|
87
|
NOR
|
Norway
| 2,010
| 87,693.79007
| -0.07
| 1.659516
| false
|
#505693
|
88
|
NPL
|
Nepal
| 2,010
| 589.165435
| 1.464
| 0.117691
| false
|
#505693
|
89
|
NRU
|
Nauru
| 2,010
| 4,644.519128
| null | 0
| false
|
#9A381D
|
90
|
NZL
|
New Zealand
| 2,010
| 33,676.77412
| 0.84
| 1.132659
| false
|
#505693
|
91
|
OMN
|
Oman
| 2,010
| 22,552.19901
| 1.473
| 0.277343
| false
|
#505693
|
92
|
PAN
|
Panama
| 2,010
| 8,124.558307
| 1.034
| 0
| false
|
#505693
|
93
|
PHL
|
Philippines
| 2,010
| 2,201.775071
| 1.175
| 0
| false
|
#505693
|
94
|
PLW
|
Palau
| 2,010
| 10,029.28803
| 0.863
| 6.994405
| false
|
#46725D
|
95
|
PNG
|
Papua New Guinea
| 2,010
| 1,879.236413
| 1.3
| 0
| false
|
#505693
|
96
|
POL
|
Poland
| 2,010
| 12,504.25019
| 0.622
| 1.474244
| true
|
#505693
|
97
|
PRT
|
Portugal
| 2,010
| 22,520.64231
| 1.344
| 1.482024
| true
|
#505693
|
98
|
PSE
|
West Bank and Gaza
| 2,010
| 2,557.075624
| 2.641
| 0
| false
|
#9A381D
|
99
|
QAT
|
Qatar
| 2,010
| 73,021.30975
| 2.167
| 0.145562
| false
|
#9A381D
|
End of preview. Expand
in Data Studio
README.md exists but content is empty.
- Downloads last month
- 9
Size of downloaded dataset files:
97.1 kB
Size of the auto-converted Parquet files:
50.5 kB
Number of rows:
1,383