Dataset logo

UN World Population Estimates

Dataset logo
Dataset logo

UN World Population Estimates

By United Nations

World population estimate data from the United Nations (UN)

Type

Dataset

Update frequency

Annually

Updated

Jun 9, 2021

Delivery method

Download

Metadata is available for each file version of the dataset. A JSON file can be downloaded once you subscribe to the dataset. The information below is an example of the metadata included in each JSON file.

Dataset file name: (UNWP)UN world population/WPP2019_POP_F01_1_TOTAL_POPULATION_BOTH_SEXES.xlsx

Key Statistics

Total records

3,102

Missing values

1%

Duplicate rows

0.04448742746615087%

Columns

Columns

89

Categorical

86

Numeric

0

Date/time

0

Column name

Type

Unique values

Min value

Max value

Unnamed: 3

categorical5315

Unnamed: 0

categorical3091163

Unnamed: 7

categorical569263

Unnamed: 6

categorical40111

Unnamed: 8

categorical2,803316

Unnamed: 4

categorical291112

Unnamed: 9

categorical2,810316

Unnamed: 11

categorical2,815316

Unnamed: 10

categorical2,813216

Unnamed: 12

categorical2,796311

Unnamed: 13

categorical2,815316

Unnamed: 14

categorical2,816116

Unnamed: 15

categorical2,818216

Unnamed: 17

categorical2,802316

Unnamed: 16

categorical2,814316

Unnamed: 18

categorical2,804316

Unnamed: 19

categorical2,805216

Unnamed: 20

categorical2,804316

Unnamed: 23

categorical2,804316

Unnamed: 22

categorical2,804311

Unnamed: 24

categorical2,804316

Unnamed: 21

categorical2,804316

Unnamed: 25

categorical2,804316

Unnamed: 26

categorical2,805316

Unnamed: 27

categorical2,805216

Unnamed: 28

categorical2,805316

Unnamed: 29

categorical2,804216

Unnamed: 30

categorical2,805316

Unnamed: 32

categorical2,802216

Unnamed: 33

categorical2,805216

Unnamed: 34

categorical2,803316

Unnamed: 31

categorical2,803316

Unnamed: 36

categorical2,803316

Unnamed: 37

categorical2,803316

Unnamed: 35

categorical2,805316

Unnamed: 40

categorical2,804316

Unnamed: 39

categorical2,804316

Unnamed: 38

categorical2,803216

Unnamed: 43

categorical2,800116

Unnamed: 45

categorical2,804316

Unnamed: 46

categorical2,803316

Unnamed: 41

categorical2,804116

Unnamed: 42

categorical2,802316

Unnamed: 44

categorical2,805316

Unnamed: 48

categorical2,804216

Unnamed: 47

categorical2,804316

Unnamed: 50

categorical2,805316

Unnamed: 49

categorical2,805312

Unnamed: 51

categorical2,804316

Unnamed: 52

categorical2,804316

Unnamed: 53

categorical2,803316

Unnamed: 54

categorical2,805316

Unnamed: 55

categorical2,804316

Unnamed: 57

categorical2,805316

Unnamed: 56

categorical2,802216

Unnamed: 59

categorical2,805316

Unnamed: 58

categorical2,805316

Unnamed: 61

categorical2,805316

Unnamed: 62

categorical2,805316

Unnamed: 63

categorical2,807316

Unnamed: 60

categorical2,805216

Unnamed: 64

categorical2,806316

Unnamed: 65

categorical2,807316

Unnamed: 66

categorical2,806316

Unnamed: 68

categorical2,806316

Unnamed: 67

categorical2,805212

Unnamed: 71

categorical2,807316

Unnamed: 73

categorical2,806316

Unnamed: 69

categorical2,807316

Unnamed: 74

categorical2,804216

Unnamed: 70

categorical2,806316

Unnamed: 72

categorical2,807216

Unnamed: 76

categorical2,806216

Unnamed: 77

categorical2,805316

Unnamed: 78

categorical2,525316

Unnamed: 75

categorical2,806316

Unnamed: 80

categorical2,524112

Unnamed: 79

categorical2,525316

Unnamed: 81

categorical2,526316

Unnamed: 82

categorical2,524316

Unnamed: 86

categorical2,525116

Unnamed: 84

categorical2,526316

Unnamed: 87

categorical2,523216

Unnamed: 83

categorical2,524316

Notes

categorical533536

Unnamed: 85

categorical2,525316

Unnamed: 1

text12319

Unnamed: 2

text291359

Unnamed: 5

text12317