Data for 2019
Armed Forces Personnel (% of population), 2019
2019, as U.S. Department of State’s 2021 release gives it · stored as published, never rewritten
Armed Forces Personnel (% of population), 2019 covers 140 countries on 2 measures. 2 countries share the highest reading, 4.60; 4 countries share the lowest reading, 0.04. The middle country reads 0.26. Against 2018, 52 values changed (8 up, 44 down), the same countries are covered.
Armed Forces Personnel (% of population) · Data for 2019
Highest2 countries share it
4.60Lowest4 countries share it
0.04Shaded by value in five groups of equal size, darkest at the lowest end. A higher value is the worse result.
01Values only
The table
Every country and every column of Armed Forces Personnel (% of population), 2019, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 140 countries · select a heading to sort
| 4.60 | 160 | highly uncertain | |
| 4.60 | 1,190 | — | |
| 1.90 | 170 | — | |
| 1.60 | 45 | — | |
| 1.60 | 180 | highly uncertain | |
| 1.50 | 7 | — | |
| 1.50 | 13 | — | |
| 1.20 | 70 | — | |
| 1.20 | 630 | — | |
| 1.10 | 11 | — | |
| 1.10 | 120 | — | |
| 1.10 | 490 | extremely uncertain | |
| 1.10 | 230 | highly uncertain | |
| 1.00 | 8 | — | |
| 0.94 | 470 | — | |
| 0.92 | 220 | — | |
| 0.88 | 45 | — | |
| 0.84 | 60 | — | |
| 0.81 | 140 | highly uncertain | |
| 0.76 | 290 | — | |
| 0.76 | 260 | — | |
| 0.75 | 12 | — | |
| 0.72 | 120 | — | |
| 0.67 | 65 | — | |
| 0.66 | 45 | extremely uncertain | |
| 0.66 | 65 | — | |
| 0.65 | 75 | — | |
| 0.64 | 20 | — | |
| 0.61 | 220 | — | |
| 0.61 | 890 | — | |
| 0.61 | 270 | — | |
| 0.60 | 500 | — | |
| 0.58 | 250 | — | |
| 0.58 | 25 | — | |
| 0.57 | 20 | — | |
| 0.55 | 14 | — | |
| 0.54 | 210 | highly uncertain | |
| 0.54 | 520 | — | |
| 0.52 | 55 | — | |
| 0.51 | 360 | — | |
| 0.48 | 45 | highly uncertain | |
| 0.48 | 30 | — | |
| 0.47 | 130 | highly uncertain | |
| 0.44 | 20 | — | |
| 0.43 | 430 | — | |
| 0.42 | 12 | — | |
| 0.41 | 30 | — | |
| 0.40 | 17 | — | |
| 0.40 | 45 | — | |
| 0.39 | 9 | — | |
| 0.39 | 75 | — | |
| 0.39 | 4 | — | |
| 0.39 | 110 | — | |
| 0.35 | 19 | — | |
| 0.35 | 110 | — | |
| 0.35 | 770 | — | |
| 0.34 | 1 | — | |
| 0.34 | 7 | — | |
| 0.34 | 2 | — | |
| 0.34 | 25 | — | |
| 0.33 | 20 | — | |
| 0.33 | 2 | — | |
| 0.32 | 100 | — | |
| 0.32 | 100 | — | |
| 0.31 | 35 | — | |
| 0.31 | 7 | — | |
| 0.31 | 20 | — | |
| 0.31 | 4 | — | |
| 0.26 | 1 | — | |
| 0.26 | 3 | — | |
| 0.26 | 110 | extremely uncertain | |
| 0.25 | 20 | — | |
| 0.25 | 8 | — | |
| 0.25 | 30 | — | |
| 0.25 | 85 | — | |
| 0.23 | 60 | — | |
| 0.23 | 40 | — | |
| 0.23 | 12 | — | |
| 0.22 | 1 | — | |
| 0.22 | 40 | — | |
| 0.22 | 280 | — | |
| 0.22 | 7 | — | |
| 0.22 | 30 | — | |
| 0.20 | 3 | — | |
| 0.20 | 5 | — | |
| 0.20 | 30 | extremely uncertain | |
| 0.20 | 55 | extremely uncertain | |
| 0.20 | 30 | — | |
| 0.19 | 10 | — | |
| 0.19 | 9 | — | |
| 0.19 | 240 | — | |
| 0.18 | 1 | highly uncertain | |
| 0.18 | 9 | — | |
| 0.18 | 18 | — | |
| 0.18 | 16 | — | |
| 0.17 | 75 | — | |
| 0.17 | 350 | — | |
| 0.17 | 8 | highly uncertain | |
| 0.17 | 11 | — | |
| 0.16 | 2 | — | |
| 0.16 | 11 | — | |
| 0.16 | 15 | — | |
| 0.16 | 2 | — | |
| 0.15 | 14 | — | |
| 0.15 | 400 | — | |
| 0.13 | 20 | extremely uncertain | |
| 0.13 | 1,780 | — | |
| 0.13 | 4 | — | |
| 0.13 | 2 | — | |
| 0.13 | 11 | — | |
| 0.12 | 110 | extremely uncertain | |
| 0.12 | 140 | — | |
| 0.12 | 130 | — | |
| 0.11 | 19 | — | |
| 0.11 | 1,550 | — | |
| 0.11 | 9 | — | |
| 0.11 | 60 | — | |
| 0.11 | 50 | — | |
| 0.10 | 160 | — | |
| 0.10 | 25 | — | |
| 0.10 | 2 | highly uncertain | |
| 0.10 | 13 | — | |
| 0.09 | 2 | — | |
| 0.09 | 16 | — | |
| 0.08 | 20 | highly uncertain | |
| 0.08 | 20 | — | |
| 0.07 | 8 | — | |
| 0.07 | 8 | extremely uncertain | |
| 0.07 | 13 | extremely uncertain | |
| 0.07 | 11 | — | |
| 0.06 | 120 | — | |
| 0.05 | 10 | — | |
| 0.05 | 14 | — | |
| 0.05 | 25 | — | |
| 0.05 | 9 | — | |
| 0.05 | 25 | — | |
| 0.04 | 2 | — | |
| 0.04 | 13 | highly uncertain | |
| 0.04 | 8 | highly uncertain | |
| 0.04 | 4 | — |
02In 2019
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Eritreashared4.60
North Koreashared4.60
Israel1.90
Armeniashared1.60
South Sudanshared1.60
Lowest
Papua New Guineashared0.04
Nigershared0.04
Mozambiqueshared0.04
Liberiashared0.04
Tanzaniashared0.05
A higher value is the worse result. The middle country reads 0.26. “Shared” marks a value another country also holds.
Each measure’s ends
Armed forces personnel (thousands)
Highest
China1,780
Lowest4 share it
Middle country: 25
032018 → 2019
Since 2018
What changed between 2018 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 52values changed, of 140 in both
- 8 · 44rose · fell
- 88unchanged
Rose most
Fell most
Eritrea4.70 → 4.60−0.10
Singapore1.30 → 1.20−0.10
Jordan1.20 → 1.10−0.10
South Sudan1.70 → 1.60−0.10
Libya0.73 → 0.66−0.07
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2021 release
Every year in this series comes from U.S. Department of State’s 2021 release, recalculated on one method. It can differ from what was first published for 2019.
60 distinct values among 140
Values are stored exactly as published, to 2 decimals. 5 countries share 0.22. Countries sharing a value share a position too.
Which end is better
A higher value is the worse result.
118 empty cells
An empty cell means the publisher gave no figure. It is never a zero.
Some readings carry a flag
U.S. Department of State marks readings it considers estimates or provisional. The flags in this file: highly uncertain, extremely uncertain.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
140 rows · 5.0 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download armed-forces-personnel-2019-nations-inquiry.csv - ↗
The publisher’s original
U.S. Department of State’s own file, on its own site.
WMEAT-2021-Table-I-Military-Expenditures-and-Armed-Forces-Personnel-2009-2019.xlsx
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: Public domain (U.S. Government work). No conditions at all. Crediting the publisher is still the courteous thing to do.
Cite this edition
U.S. Department of State (2019). Armed Forces Personnel (% of population), 2019 [data set], describing 2019. As held by Nations Inquiry, https://nationsinquiry.com/datasets/armed-forces-personnel/2019
0611 held
Other years
‹ The year before
Armed Forces Personnel (% of population), 2018140 countries
The year after ›
This is the newest year. A newer one will get its own page at its own address; this one is never rewritten.
All of them
Armed Forces Personnel (% of population): every year11 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Armed Forces Personnel (% of population), 2019: questions and answers
Which country has the highest armed forces personnel in Armed Forces Personnel (% of population), 2019?
2 countries share the highest reading, 4.60, so no single country is named.
What year does Armed Forces Personnel (% of population), 2019 describe?
2019.
How many countries does Armed Forces Personnel (% of population), 2019 cover?
140.
Where can I download Armed Forces Personnel (% of population), 2019?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Armed Forces Personnel (% of population), 2019 the newest?
Yes, as of 2026-09-29, when it was read from the publisher.