Dataset Viewer
Rank
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3
⌀ | Location
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49
| Population
stringlengths 2
13
| % of World
stringclasses 36
values | Date
stringlengths 4
9
|
|---|---|---|---|---|
null |
World
|
8,119,000,000
|
100%
|
1-Jul-24
|
1
|
China
|
1,409,670,000
|
17.30%
|
31-Dec-23
|
2
|
India
|
1,402,737,000
|
17.20%
|
1-Jul-24
|
3
|
United States
|
340,110,988
|
4.20%
|
1-Jul-24
|
4
|
Indonesia
|
282,477,584
|
3.50%
|
30-Jun-24
|
5
|
Pakistan
|
241,499,431
|
3.00%
|
1-Mar-23
|
6
|
Nigeria
|
223,800,000
|
2.70%
|
1-Jul-23
|
7
|
Brazil
|
212,583,750
|
2.60%
|
1-Jul-24
|
8
|
Bangladesh
|
169,828,911
|
2.10%
|
14-Jun-22
|
9
|
Russia
|
146,150,789
|
1.80%
|
1-Jan-24
|
10
|
Mexico
|
130,154,247
|
1.60%
|
30-Sep-24
|
11
|
Japan
|
123,740,000
|
1.50%
|
1-Dec-24
|
12
|
Philippines
|
114,163,719
|
1.40%
|
1-Jul-24
|
13
|
Ethiopia
|
109,499,000
|
1.30%
|
1-Jul-24
|
14
|
Democratic Republic of the Congo
|
109,276,000
|
1.30%
|
1-Jul-24
|
15
|
Egypt
|
105,914,499
|
1.30%
|
1-Jan-24
|
16
|
Vietnam
|
101,300,000
|
1.20%
|
1-Jul-24
|
17
|
Iran
|
85,961,000
|
1.10%
|
20-Mar-24
|
18
|
Turkey
|
85,372,377
|
1.00%
|
31-Dec-23
|
19
|
Germany
|
84,746,132
|
1.00%
|
30-Sep-24
|
20
|
France
|
68,567,000
|
0.80%
|
1-Dec-24
|
21
|
United Kingdom
|
68,265,209
|
0.80%
|
1-Jul-23
|
22
|
Thailand
|
65,960,724
|
0.80%
|
1-Nov-24
|
23
|
South Africa
|
63,015,904
|
0.80%
|
30-Jul-24
|
24
|
Tanzania
|
61,741,120
|
0.80%
|
23-Aug-22
|
25
|
Italy
|
58,958,131
|
0.70%
|
31-Oct-24
|
26
|
Colombia
|
52,695,952
|
0.60%
|
1-Jan-24
|
27
|
Kenya
|
52,428,290
|
0.60%
|
1-Jan-24
|
28
|
Myanmar
|
51,316,756
|
0.60%
|
15-Oct-24
|
29
|
South Korea
|
51,248,233
|
0.60%
|
30-Sep-24
|
30
|
Sudan
|
50,448,963
|
0.60%
|
1-Jul-24
|
31
|
Spain
|
48,946,035
|
0.60%
|
1-Oct-24
|
32
|
Argentina
|
47,067,441
|
0.60%
|
1-Jul-24
|
33
|
Algeria
|
46,700,000
|
0.60%
|
1-Jan-24
|
34
|
Uganda
|
45,935,046
|
0.60%
|
10-May-24
|
35
|
Iraq
|
44,414,800
|
0.50%
|
1-Jul-24
|
36
|
Canada
|
41,465,298
|
0.50%
|
1-Oct-24
|
37
|
Poland
|
37,519,000
|
0.50%
|
31-Oct-24
|
38
|
Uzbekistan
|
37,355,356
|
0.50%
|
1-Oct-24
|
39
|
Morocco
|
36,828,330
|
0.50%
|
1-Sep-24
|
40
|
Afghanistan
|
35,695,527
|
0.40%
|
1-Jul-24
|
41
|
Angola
|
35,121,734
|
0.40%
|
1-Jun-24
|
42
|
Malaysia
|
34,112,400
|
0.40%
|
30-Sep-24
|
43
|
Peru
|
34,038,457
|
0.40%
|
1-Jul-24
|
44
|
Ukraine
|
33,443,000
|
0.40%
|
1-Jan-24
|
45
|
Mozambique
|
33,244,414
|
0.40%
|
1-Jul-24
|
46
|
Ghana
|
33,007,618
|
0.40%
|
1-Jul-24
|
47
|
Yemen
|
32,305,264
|
0.40%
|
1-Jul-22
|
48
|
Saudi Arabia
|
32,175,224
|
0.40%
|
10-May-22
|
49
|
Madagascar
|
30,811,969
|
0.40%
|
1-Jul-24
|
50
|
Ivory Coast
|
29,389,150
|
0.40%
|
14-Dec-21
|
51
|
Nepal
|
29,164,578
|
0.40%
|
25-Nov-21
|
52
|
Cameroon
|
28,758,503
|
0.40%
|
1-Jul-24
|
53
|
Venezuela
|
28,405,543
|
0.30%
|
1-Jul-24
|
54
|
Australia
|
27,204,800
|
0.30%
|
30-Jun-24
|
55
|
Niger
|
26,312,034
|
0.30%
|
1-Jul-24
|
56
|
North Korea
|
25,950,000
|
0.30%
|
1-Jul-21
|
57
|
Syria
|
24,672,760
|
0.30%
|
1-Jul-24
|
58
|
Burkina Faso
|
23,409,015
|
0.30%
|
1-Jul-24
|
–
|
Taiwan
|
23,400,220
|
0.30%
|
31-Dec-24
|
59
|
Mali
|
22,395,489
|
0.30%
|
15-Jun-22
|
60
|
Sri Lanka
|
21,916,000
|
0.30%
|
1-Jul-24
|
61
|
Malawi
|
20,270,568
|
0.20%
|
1-Jul-24
|
62
|
Kazakhstan
|
20,265,320
|
0.20%
|
1-Dec-24
|
63
|
Chile
|
20,086,377
|
0.20%
|
30-Jun-24
|
64
|
Zambia
|
19,610,769
|
0.20%
|
14-Sep-22
|
65
|
Romania
|
19,064,409
|
0.20%
|
1-Jan-24
|
66
|
Somalia
|
19,009,151
|
0.20%
|
1-Jul-24
|
67
|
Chad
|
18,675,547
|
0.20%
|
1-Jul-24
|
68
|
Senegal
|
18,126,390
|
0.20%
|
15-May-23
|
69
|
Netherlands
|
18,045,683
|
0.20%
|
30-Nov-24
|
70
|
Guatemala
|
17,843,132
|
0.20%
|
1-Jul-24
|
71
|
Cambodia
|
17,336,307
|
0.20%
|
1-Jul-24
|
72
|
Ecuador
|
16,938,986
|
0.20%
|
1-Oct-22
|
73
|
Zimbabwe
|
16,751,469
|
0.20%
|
1-Jul-24
|
74
|
South Sudan
|
15,254,268
|
0.20%
|
1-Jul-23
|
75
|
Rwanda
|
13,798,561
|
0.20%
|
1-Jul-24
|
76
|
Guinea
|
13,261,638
|
0.20%
|
1-Jul-22
|
77
|
Benin
|
12,910,087
|
0.20%
|
1-Jul-24
|
78
|
Burundi
|
12,837,740
|
0.20%
|
1-Jul-22
|
79
|
Haiti
|
12,394,537
|
0.20%
|
1-Jul-24
|
80
|
Tunisia
|
11,887,412
|
0.10%
|
1-Jan-24
|
81
|
Belgium
|
11,872,024
|
0.10%
|
1-Nov-24
|
82
|
Papua New Guinea
|
11,781,559
|
0.10%
|
1-Jul-21
|
83
|
Jordan
|
11,516,000
|
0.10%
|
31-Dec-23
|
84
|
Bolivia
|
11,312,620
|
0.10%
|
23-Mar-24
|
85
|
Cuba
|
11,089,511
|
0.10%
|
31-Dec-22
|
86
|
Czech Republic
|
10,897,237
|
0.10%
|
30-Sep-24
|
87
|
Dominican Republic
|
10,771,504
|
0.10%
|
10-Nov-22
|
88
|
United Arab Emirates
|
10,678,556
|
0.10%
|
31-Dec-23
|
89
|
Portugal
|
10,639,726
|
0.10%
|
31-Dec-23
|
90
|
Sweden
|
10,588,230
|
0.10%
|
30-Nov-24
|
91
|
Greece
|
10,400,720
|
0.10%
|
1-Jan-24
|
92
|
Tajikistan
|
10,277,100
|
0.10%
|
1-Jan-24
|
93
|
Azerbaijan
|
10,214,441
|
0.10%
|
1-Oct-24
|
94
|
Israel
|
10,027,000
|
0.10%
|
31-Dec-24
|
95
|
Honduras
|
9,892,632
|
0.10%
|
1-Jul-24
|
96
|
Hungary
|
9,584,627
|
0.10%
|
1-Jan-24
|
97
|
Austria
|
9,198,124
|
0.10%
|
1-Oct-24
|
98
|
Belarus
|
9,155,978
|
0.10%
|
1-Jan-24
|
End of preview. Expand
in Data Studio
List of Countries and Dependencies by Population
This dataset contains population-related information for countries and dependencies, scraped from Wikipedia. The dataset includes the following columns:
- Location: The country or dependency name.
- Population: Total population count.
- % of World: The percentage of the world's population this country or dependency represents.
- Date: The date of the population estimate.
- Source: Whether the source is official or derived from the United Nations.
Dataset Summary
This dataset provides a comprehensive overview of population statistics by country and dependency. It is ideal for researchers, data scientists, and analysts who need accurate and up-to-date population data.
Dataset Features:
- Location: Textual description of the country or territory.
- Population: Integer value representing the population size.
- % of World: Float representing the percentage of the world's total population.
- Date: The date on which the population estimate was recorded.
- Source: A textual description of the data source (e.g., United Nations or official national statistics).
Source
The dataset was scraped from the Wikipedia page: List of countries and dependencies by population.
Licensing
This dataset is based on data available under the Creative Commons Attribution-ShareAlike License.
Splits
The dataset has one split:
train: Contains all records from the table (approximately 200 entries).
Examples
Here's a sample record from the dataset:
| Location | Population | % of World | Date | Source |
|---|---|---|---|---|
| China | 1,411,778,724 | 17.82% | 2023-01-01 | Official national data |
| India | 1,393,409,038 | 17.59% | 2023-01-01 | United Nations estimate |
| Tuvalu | 11,931 | 0.00015% | 2023-01-01 | United Nations estimate |
Usage
You can load this dataset using the Hugging Face datasets library:
from datasets import load_dataset
dataset = load_dataset("username/dataset_name")
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