Data for 2010
Armed Forces Personnel (% of population), 2010
2010, as U.S. Department of State’s 2021 release gives it · stored as published, never rewritten
What share of each country's population serves in its armed forces — active-duty personnel on the payroll, including paramilitary forces able to fight, as estimated by the U.S. State Department's World Military Expenditures and Arms Transfers report. The report's final edition, published in 2021, covers 2009 to 2019.
Armed Forces Personnel (% of population), 2010 covers 139 countries on 2 measures. Eritrea is highest, at 5.40; 4 countries share the lowest reading, 0.04. The middle country reads 0.32. Against 2009, 74 values changed (15 up, 59 down), the same countries are covered.
Armed Forces Personnel (% of population) · Data for 2010
HighestEritrea
5.40Lowest4 countries share it
0.04Shaded by value in five groups of equal size, darkest at the lowest end.
01Values only
The table
Every country and every column of Armed Forces Personnel (% of population), 2010, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 139 countries · select a heading to sort
ERIEastern Africa | 5.40 | 170 | highly uncertain |
PRKEastern Asia | 4.70 | 1,160 | — |
ISRWestern Asia | 2.30 | 180 | — |
IRQWestern Asia | 2.10 | 630 | — |
ARMWestern Asia | 1.60 | 45 | — |
BRNSouth-eastern Asia | 1.60 | 6 | — |
JORWestern Asia | 1.50 | 110 | — |
CYPWestern Asia | 1.40 | 12 | — |
OMNWestern Asia | 1.40 | 45 | — |
SGPSouth-eastern Asia | 1.40 | 70 | — |
SYRWestern Asia | 1.40 | 310 | — |
DJIEastern Africa | 1.30 | 11 | — |
KOREastern Asia | 1.30 | 660 | — |
LBNWestern Asia | 1.20 | 55 | — |
LBYNorthern Africa | 1.20 | 75 | — |
MMRSouth-eastern Asia | 1.20 | 510 | extremely uncertain |
TWNEastern Asia | 1.20 | 270 | — |
BTNSouthern Asia | 1.10 | 8 | — |
LKASouthern Asia | 1.00 | 210 | highly uncertain |
BHRWestern Asia | 0.97 | 12 | — |
COLSouth America | 0.94 | 430 | — |
SAUWestern Asia | 0.91 | 250 | — |
KHMSouth-eastern Asia | 0.83 | 120 | — |
GEOWestern Asia | 0.79 | 30 | — |
KWTWestern Asia | 0.78 | 25 | — |
AREWestern Asia | 0.76 | 65 | — |
AZEWestern Asia | 0.74 | 65 | — |
URYSouth America | 0.73 | 25 | — |
IRNSouthern Asia | 0.69 | 510 | — |
MARNorthern Africa | 0.68 | 220 | — |
RUSEastern Europe | 0.68 | 980 | — |
AFGSouthern Asia | 0.66 | 190 | — |
CUBCaribbean | 0.66 | 75 | — |
QATWestern Asia | 0.65 | 12 | — |
VNMSouth-eastern Asia | 0.59 | 520 | — |
DZANorthern Africa | 0.58 | 210 | — |
NAMSouthern Africa | 0.55 | 12 | — |
MRTWestern Africa | 0.54 | 19 | — |
EGYNorthern Africa | 0.53 | 440 | — |
BLREastern Europe | 0.51 | 50 | highly uncertain |
THASouth-eastern Asia | 0.51 | 340 | — |
YEMWestern Asia | 0.51 | 120 | highly uncertain |
DOMCaribbean | 0.50 | 50 | — |
BWASouthern Africa | 0.46 | 9 | — |
LAOSouth-eastern Asia | 0.46 | 30 | — |
FINNorthern Europe | 0.45 | 25 | — |
TUNNorthern Africa | 0.45 | 50 | — |
GNBWestern Africa | 0.44 | 7 | — |
NPLSouthern Asia | 0.44 | 120 | — |
AGOMiddle Africa | 0.43 | 100 | — |
UKREastern Europe | 0.43 | 200 | — |
TKMCentral Asia | 0.42 | 20 | — |
VENSouth America | 0.42 | 120 | highly uncertain |
FJIMelanesia | 0.41 | 4 | — |
GABMiddle Africa | 0.41 | 7 | — |
MLTSouthern Europe | 0.41 | 2 | — |
CHLSouth America | 0.39 | 65 | — |
MYSSouth-eastern Asia | 0.39 | 110 | — |
PAKSouthern Asia | 0.39 | 700 | — |
PERSouth America | 0.39 | 110 | — |
SURSouth America | 0.39 | 2 | — |
BLZCentral America | 0.38 | 1 | — |
BOLSouth America | 0.38 | 40 | — |
ECUSouth America | 0.38 | 60 | — |
KGZCentral Asia | 0.37 | 20 | — |
PANCentral America | 0.37 | 14 | — |
SRBSouthern Europe | 0.37 | 25 | — |
AUTWestern Europe | 0.36 | 30 | — |
BDIEastern Africa | 0.33 | 30 | — |
TTOCaribbean | 0.32 | 4 | — |
UZBCentral Asia | 0.30 | 85 | — |
COGMiddle Africa | 0.29 | 12 | — |
SWZSouthern Africa | 0.28 | 3 | — |
KAZCentral Asia | 0.28 | 45 | — |
BIHSouthern Europe | 0.27 | 10 | — |
RWAEastern Africa | 0.27 | 30 | — |
MNGEastern Asia | 0.26 | 7 | — |
SDNNorthern Africa | 0.26 | 110 | extremely uncertain |
AUSAustralia and New Zealand | 0.25 | 55 | — |
BRBCaribbean | 0.25 | 1 | — |
SLVCentral America | 0.25 | 16 | — |
CPVWestern Africa | 0.24 | 1 | — |
ZWEEastern Africa | 0.24 | 30 | — |
TCDMiddle Africa | 0.23 | 25 | extremely uncertain |
CHEWestern Europe | 0.23 | 18 | — |
GNQMiddle Africa | 0.22 | 2 | — |
IRLNorthern Europe | 0.22 | 10 | — |
MEXCentral America | 0.22 | 260 | — |
MDAEastern Europe | 0.22 | 6 | — |
NZLAustralia and New Zealand | 0.22 | 10 | — |
SWENorthern Europe | 0.22 | 20 | — |
CRICentral America | 0.21 | 10 | — |
SOMEastern Africa | 0.21 | 25 | extremely uncertain |
MUSEastern Africa | 0.20 | 3 | — |
ARGSouth America | 0.19 | 75 | — |
JPNEastern Asia | 0.19 | 240 | — |
NICCentral America | 0.19 | 11 | — |
BRASouth America | 0.17 | 330 | — |
TJKCentral Asia | 0.17 | 13 | — |
CODMiddle Africa | 0.16 | 110 | extremely uncertain |
ETHEastern Africa | 0.16 | 140 | — |
GUYSouth America | 0.16 | 1 | highly uncertain |
PRYSouth America | 0.16 | 10 | — |
SLEWestern Africa | 0.16 | 10 | — |
TGOWestern Africa | 0.16 | 11 | — |
CAFMiddle Africa | 0.15 | 7 | highly uncertain |
CHNEastern Asia | 0.15 | 2,080 | — |
UGAEastern Africa | 0.15 | 50 | — |
IDNSouth-eastern Asia | 0.14 | 340 | — |
HNDCentral America | 0.13 | 10 | — |
PHLSouth-eastern Asia | 0.13 | 120 | — |
CMRMiddle Africa | 0.12 | 25 | — |
GINWestern Africa | 0.12 | 13 | — |
ZAFSouthern Africa | 0.12 | 60 | — |
TLSSouth-eastern Asia | 0.12 | 1 | — |
BGDSouthern Asia | 0.11 | 170 | — |
GMBWestern Africa | 0.11 | 2 | highly uncertain |
GTMCentral America | 0.11 | 15 | — |
INDSouthern Asia | 0.11 | 1,410 | — |
XKXSouthern Europe | 0.11 | 2 | — |
ZMBEastern Africa | 0.11 | 16 | — |
JAMCaribbean | 0.10 | 3 | — |
LSOSouthern Africa | 0.10 | 2 | — |
MDGEastern Africa | 0.10 | 20 | — |
CIVWestern Africa | 0.09 | 18 | — |
SENWestern Africa | 0.09 | 11 | — |
BENWestern Africa | 0.07 | 7 | — |
BFAWestern Africa | 0.07 | 11 | — |
MLIWestern Africa | 0.07 | 11 | — |
KENEastern Africa | 0.06 | 25 | — |
LBRWestern Africa | 0.06 | 2 | — |
MOZEastern Africa | 0.06 | 13 | highly uncertain |
TZAEastern Africa | 0.06 | 25 | — |
HTICaribbean | 0.05 | 5 | extremely uncertain |
NGAWestern Africa | 0.05 | 80 | — |
GHAWestern Africa | 0.04 | 10 | — |
MWIEastern Africa | 0.04 | 5 | — |
NERWestern Africa | 0.04 | 6 | highly uncertain |
PNGMelanesia | 0.04 | 3 | — |
02In 2010
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Eritrea5.40
North Korea4.70
Israel2.30
Iraq2.10
Armeniashared1.60
Lowest
Papua New Guineashared0.04
Nigershared0.04
Malawishared0.04
Ghanashared0.04
Nigeriashared0.05
A higher value is the worse result. The middle country reads 0.32. “Shared” marks a value another country also holds.
Each measure’s ends
Armed forces personnel (thousands)
Highest
China2,080
Lowest5 share it
Middle country: 25
032009 → 2010
Since 2009
- +0 / −0countries joined / left
- 74values changed, of 139 in both
- 15 · 59rose · fell
- 65unchanged
04Caveats
Read before you use
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, so a change from one year to the next is not a revision. It can differ from what was first published for 2010.
68 distinct values among 139
Values are stored exactly as published, to 2 decimals. 6 countries share 0.22. Countries sharing a value share a position too.
123 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
- .csv
For a spreadsheet or code
139 rows · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download armed-forces-personnel-2010-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 to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: Public domain (U.S. Government work) · what it allows, in plain words
Cite this edition
U.S. Department of State (2010). Armed Forces Personnel (% of population), 2010 [data set], describing 2010. As held by Nations Inquiry, https://nationsinquiry.com/datasets/armed-forces-personnel/2010
0611 held
Other years
‹ The year before
Armed Forces Personnel (% of population), 2009139 countries
The year after ›
Armed Forces Personnel (% of population), 2011139 countries
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