Data for 2013
Total Factor Productivity Level, 2013
2013, as GGDC’s 2025 release gives it · stored as published, never rewritten
Total factor productivity measures how much output an economy gets from its capital, its workers and their schooling, compared with the United States in the same year. A level of 0.5 means the country produces about half what the US would with the same inputs. It is the Penn World Table's best-known measure, and the standard way economists compare how efficiently countries use what they have.
Total Factor Productivity Level, 2013 covers 120 countries. Macau is highest, at 2.21759; Burundi is lowest, at 0.21312. The middle country reads 0.63779. Against 2012, 119 values changed (34 up, 85 down), the same countries are covered.
Total Factor Productivity Level · Data for 2013
HighestMacau
2.21759LowestBurundi
0.21312Shaded by value in five groups of equal size, darkest at the better end.
01Values only
The table
Every country and every column of Total Factor Productivity Level, 2013, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 120 countries · select a heading to sort
MACEastern Asia | 2.21759 |
NORNorthern Europe | 1.25380 |
KWTWestern Asia | 1.25129 |
EGYNorthern Africa | 1.24257 |
IRNSouthern Asia | 1.05904 |
MUSEastern Africa | 1.05456 |
IRLNorthern Europe | 1.00985 |
USANorthern America | 1.00000 |
CHEWestern Europe | 0.99123 |
DEUWestern Europe | 0.97037 |
NLDWestern Europe | 0.96829 |
FRAWestern Europe | 0.94640 |
TURWestern Asia | 0.94508 |
PANCentral America | 0.94384 |
DNKNorthern Europe | 0.92146 |
BELWestern Europe | 0.90661 |
POLEastern Europe | 0.89722 |
SWENorthern Europe | 0.89164 |
TTOCaribbean | 0.88826 |
SAUWestern Asia | 0.87105 |
BHRWestern Asia | 0.86771 |
ISLNorthern Europe | 0.86106 |
CHLSouth America | 0.85680 |
QATWestern Asia | 0.84983 |
AUSAustralia and New Zealand | 0.84236 |
GBRNorthern Europe | 0.84011 |
AUTWestern Europe | 0.83772 |
NZLAustralia and New Zealand | 0.83418 |
IRQWestern Asia | 0.83272 |
CANNorthern America | 0.82414 |
ARGSouth America | 0.82135 |
TWNEastern Asia | 0.81926 |
HKGEastern Asia | 0.80677 |
LUXWestern Europe | 0.79979 |
ESPSouthern Europe | 0.79699 |
FINNorthern Europe | 0.79563 |
VENSouth America | 0.78788 |
URYSouth America | 0.77987 |
SGPSouth-eastern Asia | 0.77011 |
ITASouthern Europe | 0.75909 |
LTUNorthern Europe | 0.74613 |
SWZSouthern Africa | 0.74558 |
FJIMelanesia | 0.73927 |
BGREastern Europe | 0.72922 |
LKASouthern Asia | 0.72440 |
CYPWestern Asia | 0.69858 |
ISRWestern Asia | 0.69530 |
JPNEastern Asia | 0.69431 |
MLTSouthern Europe | 0.69426 |
MEXCentral America | 0.69196 |
PRTSouthern Europe | 0.68655 |
ZAFSouthern Africa | 0.67775 |
SVKEastern Europe | 0.67379 |
GTMCentral America | 0.67288 |
CRICentral America | 0.67253 |
ROUEastern Europe | 0.66857 |
KAZCentral Asia | 0.66524 |
JORWestern Asia | 0.65998 |
MYSSouth-eastern Asia | 0.64660 |
CIVWestern Africa | 0.64288 |
ESTNorthern Europe | 0.63271 |
DOMCaribbean | 0.63239 |
PRYSouth America | 0.63123 |
HRVSouthern Europe | 0.62371 |
HUNEastern Europe | 0.62186 |
KOREastern Asia | 0.62058 |
SVNSouthern Europe | 0.60421 |
COLSouth America | 0.60239 |
NAMSouthern Africa | 0.59967 |
ARMWestern Asia | 0.59111 |
TUNNorthern Africa | 0.57777 |
BRASouth America | 0.57374 |
CZEEastern Europe | 0.55861 |
BWASouthern Africa | 0.55650 |
RUSEastern Europe | 0.54804 |
SLVCentral America | 0.54200 |
SRBSouthern Europe | 0.53990 |
LVANorthern Europe | 0.53846 |
NGAWestern Africa | 0.53110 |
PERSouth America | 0.52714 |
PHLSouth-eastern Asia | 0.52528 |
ECUSouth America | 0.52147 |
MDAEastern Europe | 0.52031 |
SDNNorthern Africa | 0.51906 |
MARNorthern Africa | 0.51542 |
SLEWestern Africa | 0.51438 |
THASouth-eastern Asia | 0.51381 |
GRCSouthern Europe | 0.51092 |
KGZCentral Asia | 0.49439 |
ALBSouthern Europe | 0.49432 |
BENWestern Africa | 0.49331 |
MRTWestern Africa | 0.49318 |
SENWestern Africa | 0.48202 |
BOLSouth America | 0.48147 |
LAOSouth-eastern Asia | 0.47860 |
GABMiddle Africa | 0.47703 |
IDNSouth-eastern Asia | 0.46923 |
BRBCaribbean | 0.46333 |
ZWEEastern Africa | 0.44594 |
NICCentral America | 0.41498 |
BFAWestern Africa | 0.40778 |
AGOMiddle Africa | 0.40608 |
CHNEastern Asia | 0.40173 |
KENEastern Africa | 0.40165 |
LSOSouthern Africa | 0.38484 |
CMRMiddle Africa | 0.38401 |
MNGEastern Asia | 0.38294 |
INDSouthern Asia | 0.38041 |
JAMCaribbean | 0.37629 |
UKREastern Europe | 0.37269 |
HNDCentral America | 0.36918 |
TZAEastern Africa | 0.34518 |
RWAEastern Africa | 0.34122 |
ZMBEastern Africa | 0.31965 |
TGOWestern Africa | 0.29386 |
MOZEastern Africa | 0.28071 |
NERWestern Africa | 0.26480 |
TJKCentral Asia | 0.26479 |
CAFMiddle Africa | 0.23806 |
BDIEastern Africa | 0.21312 |
02In 2013
At either end
The 5 countries at each end of the headline.
Lowest
Burundi0.21312
Central African Republic0.23806
Tajikistan0.26479
Niger0.26480
Mozambique0.28071
A higher value is the better result. The middle country reads 0.63779. “Shared” marks a value another country also holds.
032012 → 2013
Since 2012
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 34 · 85rose · fell
- 1unchanged
Rose most
Sierra Leone0.37115 → 0.51438+0.14323
Côte d’Ivoire0.58866 → 0.64288+0.05422
Hong Kong0.75711 → 0.80677+0.04966
Mauritania0.44378 → 0.49318+0.04940
Nigeria0.48329 → 0.53110+0.04781
Fell most
Macau2.38283 → 2.21759−0.16524
Qatar0.98818 → 0.84983−0.13835
Central African Republic0.35348 → 0.23806−0.11542
Kuwait1.36346 → 1.25129−0.11216
Armenia0.69817 → 0.59111−0.10706
04Caveats
Read before you use
One year of the 2025 release
Every year in this series comes from GGDC’s 2025 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 2013.
Nothing missing
Every one of the 120 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
120 rows · 4.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download total-factor-productivity-2013-nations-inquiry.csv - ↗
The publisher’s original
GGDC’s own file, on its own site.
554105
What this site changed: Reshaped to one row per country, with its ISO code; no value recalculated, rescaled or rounded. In full
Licence: CC BY 4.0 · what it allows, in plain words
Cite this edition
Groningen Growth and Development Centre (GGDC) (2013). Total Factor Productivity Level, 2013 [data set], describing 2013. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2013
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2012120 countries
The year after ›
Total Factor Productivity Level, 2014120 countries
All of them
Total Factor Productivity Level: every year54 held, with the data dictionary, coverage and licence.
How it has moved, charted by country