Data for 2011
Armed Forces Personnel (% of population), 2011
2011, 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), 2011 covers 139 countries on 2 measures. Eritrea is highest, at 5.00; 2 countries share the lowest reading, 0.03. The middle country reads 0.32. Against 2010, 73 values changed (19 up, 54 down), the same countries are covered.
Armed Forces Personnel (% of population) · Data for 2011
HighestEritrea
5.00Lowest2 countries share it
0.03Shaded 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), 2011, 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 | 5.00 | 160 | highly uncertain |
PRKEastern Asia | 4.70 | 1,160 | — |
ISRWestern Asia | 2.30 | 180 | — |
IRQWestern Asia | 2.20 | 660 | — |
ARMWestern Asia | 1.60 | 45 | — |
BRNSouth-eastern Asia | 1.60 | 6 | — |
JORWestern Asia | 1.50 | 110 | — |
OMNWestern Asia | 1.40 | 45 | — |
SGPSouth-eastern Asia | 1.40 | 70 | — |
SYRWestern Asia | 1.40 | 310 | highly uncertain |
CYPWestern Asia | 1.30 | 12 | — |
KOREastern Asia | 1.30 | 660 | — |
DJIEastern Africa | 1.20 | 11 | — |
LBYNorthern Africa | 1.20 | 75 | highly uncertain |
MMRSouth-eastern Asia | 1.20 | 510 | extremely uncertain |
BTNSouthern Asia | 1.10 | 8 | — |
LBNWestern Asia | 1.10 | 55 | — |
TWNEastern Asia | 1.10 | 270 | — |
LKASouthern Asia | 1.00 | 210 | highly uncertain |
BHRWestern Asia | 0.96 | 12 | — |
COLSouth America | 0.95 | 430 | — |
SAUWestern Asia | 0.88 | 250 | — |
KHMSouth-eastern Asia | 0.82 | 120 | — |
AFGSouthern Asia | 0.80 | 240 | — |
GEOWestern Asia | 0.80 | 30 | — |
KWTWestern Asia | 0.74 | 25 | — |
AZEWestern Asia | 0.73 | 65 | — |
AREWestern Asia | 0.72 | 65 | — |
URYSouth America | 0.70 | 25 | — |
IRNSouthern Asia | 0.68 | 510 | — |
MARNorthern Africa | 0.68 | 220 | — |
RUSEastern Europe | 0.67 | 960 | — |
CUBCaribbean | 0.66 | 75 | — |
DZANorthern Africa | 0.60 | 220 | — |
QATWestern Asia | 0.59 | 12 | — |
VNMSouth-eastern Asia | 0.59 | 520 | — |
NAMSouthern Africa | 0.55 | 12 | — |
EGYNorthern Africa | 0.52 | 440 | — |
MRTWestern Africa | 0.52 | 19 | — |
BLREastern Europe | 0.51 | 50 | highly uncertain |
THASouth-eastern Asia | 0.51 | 340 | — |
DOMCaribbean | 0.49 | 50 | — |
YEMWestern Asia | 0.49 | 120 | highly uncertain |
BWASouthern Africa | 0.45 | 9 | — |
LAOSouth-eastern Asia | 0.45 | 30 | — |
TUNNorthern Africa | 0.44 | 50 | — |
GNBWestern Africa | 0.43 | 7 | — |
NPLSouthern Asia | 0.43 | 120 | — |
VENSouth America | 0.43 | 120 | highly uncertain |
AGOMiddle Africa | 0.42 | 100 | — |
FINNorthern Europe | 0.42 | 25 | — |
TKMCentral Asia | 0.42 | 20 | — |
UKREastern Europe | 0.42 | 190 | — |
MLTSouthern Europe | 0.41 | 2 | — |
GABMiddle Africa | 0.40 | 7 | — |
PAKSouthern Asia | 0.40 | 730 | — |
CHLSouth America | 0.39 | 65 | — |
FJIMelanesia | 0.39 | 3 | — |
MYSSouth-eastern Asia | 0.39 | 110 | — |
PERSouth America | 0.39 | 110 | — |
ECUSouth America | 0.38 | 60 | — |
PANCentral America | 0.38 | 14 | — |
SURSouth America | 0.38 | 2 | — |
BLZCentral America | 0.37 | 1 | — |
BOLSouth America | 0.37 | 40 | — |
KGZCentral Asia | 0.37 | 20 | — |
SRBSouthern Europe | 0.36 | 25 | — |
AUTWestern Europe | 0.33 | 30 | — |
BDIEastern Africa | 0.32 | 30 | — |
TTOCaribbean | 0.32 | 4 | — |
UZBCentral Asia | 0.29 | 85 | — |
SWZSouthern Africa | 0.28 | 3 | — |
KAZCentral Asia | 0.28 | 45 | — |
COGMiddle Africa | 0.28 | 12 | — |
BRBCaribbean | 0.27 | 1 | — |
RWAEastern Africa | 0.27 | 30 | — |
BIHSouthern Europe | 0.26 | 10 | — |
MNGEastern Asia | 0.26 | 7 | — |
AUSAustralia and New Zealand | 0.25 | 55 | — |
SLVCentral America | 0.25 | 15 | — |
SDNNorthern Africa | 0.25 | 110 | extremely uncertain |
CPVWestern Africa | 0.24 | 1 | — |
MEXCentral America | 0.23 | 260 | — |
CHEWestern Europe | 0.23 | 18 | — |
IRLNorthern Europe | 0.22 | 10 | — |
ZWEEastern Africa | 0.22 | 30 | — |
CRICentral America | 0.21 | 10 | — |
GNQMiddle Africa | 0.21 | 2 | — |
MDAEastern Europe | 0.21 | 6 | — |
NZLAustralia and New Zealand | 0.21 | 9 | — |
SOMEastern Africa | 0.21 | 25 | extremely uncertain |
MUSEastern Africa | 0.20 | 3 | — |
SWENorthern Europe | 0.20 | 19 | — |
ARGSouth America | 0.19 | 75 | — |
TCDMiddle Africa | 0.19 | 25 | extremely uncertain |
JPNEastern Asia | 0.19 | 240 | — |
NICCentral America | 0.19 | 11 | — |
TJKCentral Asia | 0.18 | 14 | — |
BRASouth America | 0.17 | 340 | — |
CAFMiddle Africa | 0.16 | 7 | highly uncertain |
CODMiddle Africa | 0.16 | 110 | extremely uncertain |
ETHEastern Africa | 0.16 | 140 | — |
GUYSouth America | 0.16 | 1 | highly uncertain |
PRYSouth America | 0.16 | 10 | — |
TGOWestern Africa | 0.16 | 11 | — |
CHNEastern Asia | 0.15 | 2,040 | — |
IDNSouth-eastern Asia | 0.15 | 360 | — |
SLEWestern Africa | 0.15 | 10 | — |
UGAEastern Africa | 0.14 | 50 | — |
TLSSouth-eastern Asia | 0.13 | 1 | — |
CMRMiddle Africa | 0.12 | 25 | — |
GMBWestern Africa | 0.12 | 2 | highly uncertain |
GINWestern Africa | 0.12 | 13 | — |
HNDCentral America | 0.12 | 10 | — |
XKXSouthern Europe | 0.12 | 2 | — |
PHLSouth-eastern Asia | 0.12 | 120 | — |
ZAFSouthern Africa | 0.12 | 65 | — |
BGDSouthern Asia | 0.11 | 170 | — |
GTMCentral America | 0.11 | 15 | — |
INDSouthern Asia | 0.11 | 1,420 | — |
JAMCaribbean | 0.11 | 3 | — |
ZMBEastern Africa | 0.11 | 16 | — |
LSOSouthern Africa | 0.10 | 2 | — |
MDGEastern Africa | 0.10 | 25 | — |
SENWestern Africa | 0.09 | 11 | — |
BENWestern Africa | 0.08 | 7 | — |
CIVWestern Africa | 0.08 | 18 | — |
BFAWestern Africa | 0.07 | 11 | — |
MLIWestern Africa | 0.07 | 11 | — |
KENEastern Africa | 0.06 | 25 | — |
TZAEastern Africa | 0.06 | 25 | — |
GHAWestern Africa | 0.05 | 12 | — |
HTICaribbean | 0.05 | 5 | extremely uncertain |
LBRWestern Africa | 0.05 | 2 | — |
MOZEastern Africa | 0.05 | 13 | highly uncertain |
NGAWestern Africa | 0.05 | 80 | — |
PNGMelanesia | 0.04 | 3 | — |
MWIEastern Africa | 0.03 | 5 | — |
NERWestern Africa | 0.03 | 6 | highly uncertain |
02In 2011
At either end
The 5 countries at each end of the headline, then the highest and lowest on each other measure.
Highest
Eritrea5.00
North Korea4.70
Israel2.30
Iraq2.20
Armeniashared1.60
Lowest
Nigershared0.03
Malawishared0.03
Papua New Guinea0.04
Nigeriashared0.05
Mozambiqueshared0.05
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
China2,040
Lowest5 share it
Middle country: 25
032010 → 2011
Since 2010
- +0 / −0countries joined / left
- 73values changed, of 139 in both
- 19 · 54rose · fell
- 66unchanged
Rose most
Afghanistan0.66 → 0.80+0.14
Iraq2.10 → 2.20+0.10
Barbados0.25 → 0.27+0.02
Algeria0.58 → 0.60+0.02
Central African Republic0.15 → 0.16+0.01
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 2011.
68 distinct values among 139
Values are stored exactly as published, to 2 decimals. 7 countries share 0.12. Countries sharing a value share a position too.
121 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-2011-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 (2011). Armed Forces Personnel (% of population), 2011 [data set], describing 2011. As held by Nations Inquiry, https://nationsinquiry.com/datasets/armed-forces-personnel/2011
0611 held
Other years
‹ The year before
Armed Forces Personnel (% of population), 2010139 countries
The year after ›
Armed Forces Personnel (% of population), 2012140 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