Data for 2003
Total Factor Productivity Level, 2003
2003, 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, 2003 covers 120 countries. Macau is highest, at 1.50660; Burundi is lowest, at 0.14867. The middle country reads 0.64340. Against 2002, 119 values changed (47 up, 72 down), the same countries are covered.
Total Factor Productivity Level · Data for 2003
HighestMacau
1.50660LowestBurundi
0.14867Shaded 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, 2003, 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 | 1.50660 |
IRLNorthern Europe | 1.42827 |
NORNorthern Europe | 1.33232 |
NLDWestern Europe | 1.19814 |
FRAWestern Europe | 1.19322 |
BELWestern Europe | 1.17406 |
MUSEastern Africa | 1.16595 |
GBRNorthern Europe | 1.15879 |
LUXWestern Europe | 1.12031 |
BGREastern Europe | 1.07600 |
ESPSouthern Europe | 1.04627 |
TWNEastern Asia | 1.03898 |
DEUWestern Europe | 1.03489 |
DNKNorthern Europe | 1.03150 |
SWENorthern Europe | 1.01684 |
TURWestern Asia | 1.01534 |
AUTWestern Europe | 1.00064 |
USANorthern America | 1.00000 |
HKGEastern Asia | 0.98332 |
ITASouthern Europe | 0.97004 |
IRNSouthern Asia | 0.96775 |
FINNorthern Europe | 0.96366 |
TTOCaribbean | 0.95779 |
CANNorthern America | 0.94899 |
PANCentral America | 0.93584 |
CHEWestern Europe | 0.92982 |
SWZSouthern Africa | 0.92910 |
MLTSouthern Europe | 0.92342 |
ISLNorthern Europe | 0.90360 |
AUSAustralia and New Zealand | 0.89734 |
NZLAustralia and New Zealand | 0.87684 |
CYPWestern Asia | 0.87677 |
BRBCaribbean | 0.87662 |
ZAFSouthern Africa | 0.86993 |
EGYNorthern Africa | 0.85917 |
KWTWestern Asia | 0.84387 |
POLEastern Europe | 0.83979 |
PRTSouthern Europe | 0.83861 |
QATWestern Asia | 0.83858 |
MEXCentral America | 0.81496 |
ISRWestern Asia | 0.79527 |
LTUNorthern Europe | 0.78770 |
GRCSouthern Europe | 0.78428 |
HRVSouthern Europe | 0.77815 |
HUNEastern Europe | 0.75516 |
SVNSouthern Europe | 0.74632 |
JPNEastern Asia | 0.74145 |
SGPSouth-eastern Asia | 0.71157 |
CIVWestern Africa | 0.70308 |
KOREastern Asia | 0.70066 |
SVKEastern Europe | 0.69346 |
GTMCentral America | 0.68768 |
NAMSouthern Africa | 0.68088 |
SAUWestern Asia | 0.67764 |
ARGSouth America | 0.66017 |
CHLSouth America | 0.65690 |
URYSouth America | 0.65243 |
LKASouthern Asia | 0.65183 |
SLVCentral America | 0.64448 |
BWASouthern Africa | 0.64410 |
CRICentral America | 0.64269 |
ROUEastern Europe | 0.63005 |
ESTNorthern Europe | 0.62152 |
BHRWestern Asia | 0.61190 |
TUNNorthern Africa | 0.61007 |
DOMCaribbean | 0.60035 |
LVANorthern Europe | 0.59875 |
CZEEastern Europe | 0.57867 |
BRASouth America | 0.56835 |
FJIMelanesia | 0.56532 |
PRYSouth America | 0.56140 |
SENWestern Africa | 0.55100 |
VENSouth America | 0.54263 |
MARNorthern Africa | 0.53979 |
MYSSouth-eastern Asia | 0.52573 |
LSOSouthern Africa | 0.49924 |
PHLSouth-eastern Asia | 0.49053 |
BENWestern Africa | 0.48920 |
COLSouth America | 0.47744 |
ZWEEastern Africa | 0.47129 |
NICCentral America | 0.46990 |
HNDCentral America | 0.46613 |
SDNNorthern Africa | 0.44275 |
MRTWestern Africa | 0.43651 |
SRBSouthern Europe | 0.43561 |
JAMCaribbean | 0.43217 |
BFAWestern Africa | 0.41829 |
THASouth-eastern Asia | 0.41271 |
ALBSouthern Europe | 0.40995 |
MOZEastern Africa | 0.40891 |
ARMWestern Asia | 0.40614 |
CMRMiddle Africa | 0.39197 |
IRQWestern Asia | 0.38580 |
IDNSouth-eastern Asia | 0.38560 |
PERSouth America | 0.38510 |
LAOSouth-eastern Asia | 0.37950 |
KENEastern Africa | 0.37129 |
ECUSouth America | 0.37022 |
CAFMiddle Africa | 0.36399 |
JORWestern Asia | 0.36288 |
SLEWestern Africa | 0.35798 |
CHNEastern Asia | 0.35056 |
GABMiddle Africa | 0.34837 |
TZAEastern Africa | 0.33464 |
BOLSouth America | 0.33304 |
RWAEastern Africa | 0.32915 |
KGZCentral Asia | 0.32357 |
RUSEastern Europe | 0.31967 |
MDAEastern Europe | 0.31721 |
INDSouthern Asia | 0.30803 |
TGOWestern Africa | 0.28458 |
KAZCentral Asia | 0.28222 |
UKREastern Europe | 0.27124 |
NERWestern Africa | 0.26963 |
ZMBEastern Africa | 0.26121 |
MNGEastern Asia | 0.24188 |
TJKCentral Asia | 0.23772 |
NGAWestern Africa | 0.20688 |
AGOMiddle Africa | 0.17589 |
BDIEastern Africa | 0.14867 |
02In 2003
At either end
The 5 countries at each end of the headline.
Highest
Macau1.50660
Ireland1.42827
Norway1.33232
Netherlands1.19814
France1.19322
Lowest
Burundi0.14867
Angola0.17589
Nigeria0.20688
Tajikistan0.23772
Mongolia0.24188
A higher value is the better result. The middle country reads 0.64340. “Shared” marks a value another country also holds.
032002 → 2003
Since 2002
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 47 · 72rose · fell
- 1unchanged
Rose most
Trinidad and Tobago0.79147 → 0.95779+0.16632
Macau1.34713 → 1.50660+0.15947
Kuwait0.73795 → 0.84387+0.10592
Qatar0.73674 → 0.83858+0.10184
Côte d’Ivoire0.61517 → 0.70308+0.08791
Fell most
Iraq0.68717 → 0.38580−0.30137
Zimbabwe0.62544 → 0.47129−0.15415
Barbados1.00929 → 0.87662−0.13267
Luxembourg1.25252 → 1.12031−0.13221
Singapore0.82138 → 0.71157−0.10981
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 2003.
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-2003-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) (2003). Total Factor Productivity Level, 2003 [data set], describing 2003. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2003
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2002120 countries
The year after ›
Total Factor Productivity Level, 2004120 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