UN World Population Estimates

By United Nations

World population estimate data from the United Nations (UN)

Product 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

Duplicate rows

0.04448742746615087%

Columns

Categorical

Numeric

Date/time

Column name	Type	Unique values	Min value	Max value
Unnamed: 3	categorical	53	1	5
Unnamed: 0	categorical	309	1	163
Unnamed: 7	categorical	569	2	63
Unnamed: 6	categorical	40	1	11
Unnamed: 8	categorical	2,803	3	16
Unnamed: 4	categorical	291	1	12
Unnamed: 9	categorical	2,810	3	16
Unnamed: 11	categorical	2,815	3	16
Unnamed: 10	categorical	2,813	2	16
Unnamed: 12	categorical	2,796	3	11
Unnamed: 13	categorical	2,815	3	16
Unnamed: 14	categorical	2,816	1	16
Unnamed: 15	categorical	2,818	2	16
Unnamed: 17	categorical	2,802	3	16
Unnamed: 16	categorical	2,814	3	16
Unnamed: 18	categorical	2,804	3	16
Unnamed: 19	categorical	2,805	2	16
Unnamed: 20	categorical	2,804	3	16
Unnamed: 23	categorical	2,804	3	16
Unnamed: 22	categorical	2,804	3	11
Unnamed: 24	categorical	2,804	3	16
Unnamed: 21	categorical	2,804	3	16
Unnamed: 25	categorical	2,804	3	16
Unnamed: 26	categorical	2,805	3	16
Unnamed: 27	categorical	2,805	2	16
Unnamed: 28	categorical	2,805	3	16
Unnamed: 29	categorical	2,804	2	16
Unnamed: 30	categorical	2,805	3	16
Unnamed: 32	categorical	2,802	2	16
Unnamed: 33	categorical	2,805	2	16
Unnamed: 34	categorical	2,803	3	16
Unnamed: 31	categorical	2,803	3	16
Unnamed: 36	categorical	2,803	3	16
Unnamed: 37	categorical	2,803	3	16
Unnamed: 35	categorical	2,805	3	16
Unnamed: 40	categorical	2,804	3	16
Unnamed: 39	categorical	2,804	3	16
Unnamed: 38	categorical	2,803	2	16
Unnamed: 43	categorical	2,800	1	16
Unnamed: 45	categorical	2,804	3	16
Unnamed: 46	categorical	2,803	3	16
Unnamed: 41	categorical	2,804	1	16
Unnamed: 42	categorical	2,802	3	16
Unnamed: 44	categorical	2,805	3	16
Unnamed: 48	categorical	2,804	2	16
Unnamed: 47	categorical	2,804	3	16
Unnamed: 50	categorical	2,805	3	16
Unnamed: 49	categorical	2,805	3	12
Unnamed: 51	categorical	2,804	3	16
Unnamed: 52	categorical	2,804	3	16
Unnamed: 53	categorical	2,803	3	16
Unnamed: 54	categorical	2,805	3	16
Unnamed: 55	categorical	2,804	3	16
Unnamed: 57	categorical	2,805	3	16
Unnamed: 56	categorical	2,802	2	16
Unnamed: 59	categorical	2,805	3	16
Unnamed: 58	categorical	2,805	3	16
Unnamed: 61	categorical	2,805	3	16
Unnamed: 62	categorical	2,805	3	16
Unnamed: 63	categorical	2,807	3	16
Unnamed: 60	categorical	2,805	2	16
Unnamed: 64	categorical	2,806	3	16
Unnamed: 65	categorical	2,807	3	16
Unnamed: 66	categorical	2,806	3	16
Unnamed: 68	categorical	2,806	3	16
Unnamed: 67	categorical	2,805	2	12
Unnamed: 71	categorical	2,807	3	16
Unnamed: 73	categorical	2,806	3	16
Unnamed: 69	categorical	2,807	3	16
Unnamed: 74	categorical	2,804	2	16
Unnamed: 70	categorical	2,806	3	16
Unnamed: 72	categorical	2,807	2	16
Unnamed: 76	categorical	2,806	2	16
Unnamed: 77	categorical	2,805	3	16
Unnamed: 78	categorical	2,525	3	16
Unnamed: 75	categorical	2,806	3	16
Unnamed: 80	categorical	2,524	1	12
Unnamed: 79	categorical	2,525	3	16
Unnamed: 81	categorical	2,526	3	16
Unnamed: 82	categorical	2,524	3	16
Unnamed: 86	categorical	2,525	1	16
Unnamed: 84	categorical	2,526	3	16
Unnamed: 87	categorical	2,523	2	16
Unnamed: 83	categorical	2,524	3	16
Notes	categorical	53	3	536
Unnamed: 85	categorical	2,525	3	16
Unnamed: 1	text	12	3	19
Unnamed: 2	text	291	3	59
Unnamed: 5	text	12	3	17