The CSV (comma-separated values) files below are meant for bulk processing in statistical softwares (like R and Stata) and databases.

Specific information about the indicators is provided in the table below.

These CSV files are encoded in UTF-8 and all of them have the following columns:

LocID (numeric): numeric code for the location; for countries and areas, it follows the ISO 3166-1 numeric standard
Location (string): name of the region, subregion, country or area
VarID (numeric): numeric code for the variant
Variant (string): projection variant name (Medium is the most used); for more information see Definition of projection variants
Time (string): label identifying the single year (e.g. 1950) or the period of the data (e.g. 1950-1955)
MidPeriod (numeric): numeric value identifying the mid period of the data, with the decimal representing the month (e.g. 1950.5 for July 1950)

Use the LocID, VarID and Time columns to link the data accross the different files, if necessary. Note that Time differs between single year (e.g. 1950) and period (e.g. 1950-1955) data.

Unless noted, the files include all locations from Standard and Special Aggregates, and all variants (medium, high, low, etc.) including probabilistic projections (median PI, upper and lower 80 and 95). For locations from the Special Aggregates set, only medium variant is available.

For the files with data separated by age, the following columns are available:

AgeGrp (string): label identifying the single age (e.g. 15) or age group (e.g. 15-19)
AgeGrpStart (numeric): initial age of the age group
AgeGrpSpan (numeric): length of the age group, in years

Refer to each file listed below for a description of it's specific data columns.

Please note these files don't include footnotes, please refer to the Excel files for notes that apply to the regions, subregions, countries or areas listed in the CSV files.

On 28 August 2019 a minor technical correction was made to the population projected after 2050 for selected countries and regions, and to the population interpolated by single year and single age for both sexes, see release note for further details. Interactive Data, Excel and CSV files have been updated accordingly.

World Population Prospects 2019