Data for 2005
Total Factor Productivity Level, 2005
2005, 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, 2005 covers 120 countries. Macau is highest, at 1.6461; Zimbabwe is lowest, at 0.0656. The middle country reads 0.6549. Against 2004, 119 values changed (82 up, 37 down), the same countries are covered.
Total Factor Productivity Level · Data for 2005
HighestMacau
1.6461LowestZimbabwe
0.0656Shaded 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, 2005, 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 | 1.6461 |
NORNorthern Europe | 1.4588 |
IRLNorthern Europe | 1.4195 |
NLDWestern Europe | 1.1917 |
GBRNorthern Europe | 1.1348 |
IRNSouthern Asia | 1.1334 |
KWTWestern Asia | 1.1114 |
BELWestern Europe | 1.1093 |
FRAWestern Europe | 1.1037 |
MUSEastern Africa | 1.0968 |
SWZSouthern Africa | 1.0654 |
TURWestern Asia | 1.0631 |
DEUWestern Europe | 1.0393 |
SWENorthern Europe | 1.0387 |
PANCentral America | 1.0377 |
TWNEastern Asia | 1.0348 |
DNKNorthern Europe | 1.0221 |
USANorthern America | 1.0000 |
AUTWestern Europe | 0.9938 |
TTOCaribbean | 0.9874 |
ESPSouthern Europe | 0.9861 |
QATWestern Asia | 0.9860 |
HKGEastern Asia | 0.9768 |
CANNorthern America | 0.9671 |
BGREastern Europe | 0.9668 |
LUXWestern Europe | 0.9503 |
FINNorthern Europe | 0.9480 |
ITASouthern Europe | 0.9134 |
CHEWestern Europe | 0.9102 |
ZAFSouthern Africa | 0.9056 |
AUSAustralia and New Zealand | 0.8951 |
MLTSouthern Europe | 0.8924 |
ISLNorthern Europe | 0.8630 |
SGPSouth-eastern Asia | 0.8589 |
CYPWestern Asia | 0.8568 |
EGYNorthern Africa | 0.8517 |
PRTSouthern Europe | 0.8452 |
NZLAustralia and New Zealand | 0.8348 |
POLEastern Europe | 0.8210 |
MEXCentral America | 0.7964 |
BRBCaribbean | 0.7838 |
SAUWestern Asia | 0.7805 |
VENSouth America | 0.7791 |
LTUNorthern Europe | 0.7697 |
ISRWestern Asia | 0.7681 |
HUNEastern Europe | 0.7485 |
HRVSouthern Europe | 0.7483 |
JPNEastern Asia | 0.7461 |
CHLSouth America | 0.7455 |
GRCSouthern Europe | 0.7310 |
NAMSouthern Africa | 0.7289 |
BWASouthern Africa | 0.7247 |
SVNSouthern Europe | 0.7154 |
ARGSouth America | 0.7149 |
KOREastern Asia | 0.7054 |
SVKEastern Europe | 0.6800 |
GTMCentral America | 0.6788 |
CIVWestern Africa | 0.6779 |
URYSouth America | 0.6602 |
SLVCentral America | 0.6588 |
LVANorthern Europe | 0.6509 |
BHRWestern Asia | 0.6498 |
CRICentral America | 0.6426 |
ROUEastern Europe | 0.6416 |
DOMCaribbean | 0.6329 |
TUNNorthern Africa | 0.6290 |
ESTNorthern Europe | 0.6269 |
LKASouthern Asia | 0.5977 |
CZEEastern Europe | 0.5854 |
MYSSouth-eastern Asia | 0.5852 |
BRASouth America | 0.5637 |
SENWestern Africa | 0.5588 |
PRYSouth America | 0.5269 |
SDNNorthern Africa | 0.5259 |
FJIMelanesia | 0.5151 |
BENWestern Africa | 0.5125 |
IRQWestern Asia | 0.5121 |
MARNorthern Africa | 0.5038 |
LSOSouthern Africa | 0.4989 |
SRBSouthern Europe | 0.4986 |
HNDCentral America | 0.4882 |
ARMWestern Asia | 0.4869 |
COLSouth America | 0.4846 |
PHLSouth-eastern Asia | 0.4805 |
NICCentral America | 0.4687 |
THASouth-eastern Asia | 0.4565 |
ALBSouthern Europe | 0.4496 |
GABMiddle Africa | 0.4434 |
BFAWestern Africa | 0.4404 |
MRTWestern Africa | 0.4345 |
PERSouth America | 0.4219 |
JORWestern Asia | 0.4180 |
ECUSouth America | 0.4118 |
MOZEastern Africa | 0.4068 |
JAMCaribbean | 0.4065 |
IDNSouth-eastern Asia | 0.4061 |
CMRMiddle Africa | 0.4026 |
RUSEastern Europe | 0.3885 |
CHNEastern Asia | 0.3879 |
KENEastern Africa | 0.3869 |
CAFMiddle Africa | 0.3821 |
MDAEastern Europe | 0.3709 |
LAOSouth-eastern Asia | 0.3667 |
KGZCentral Asia | 0.3650 |
RWAEastern Africa | 0.3619 |
TZAEastern Africa | 0.3618 |
BOLSouth America | 0.3448 |
INDSouthern Asia | 0.3446 |
SLEWestern Africa | 0.3381 |
KAZCentral Asia | 0.3374 |
NGAWestern Africa | 0.3292 |
UKREastern Europe | 0.3289 |
ZMBEastern Africa | 0.2953 |
TGOWestern Africa | 0.2882 |
AGOMiddle Africa | 0.2772 |
TJKCentral Asia | 0.2580 |
MNGEastern Asia | 0.2557 |
NERWestern Africa | 0.2503 |
BDIEastern Africa | 0.1698 |
ZWEEastern Africa | 0.0656 |
02In 2005
At either end
The 5 countries at each end of the headline.
Highest
Macau1.6461
Norway1.4588
Ireland1.4195
Netherlands1.1917
United Kingdom1.1348
Lowest
Zimbabwe0.0656
Burundi0.1698
Niger0.2503
Mongolia0.2557
Tajikistan0.2580
A higher value is the better result. The middle country reads 0.6549. “Shared” marks a value another country also holds.
032004 → 2005
Since 2004
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 82 · 37rose · fell
- 1unchanged
Rose most
Fell most
Zimbabwe0.2176 → 0.0656−0.1520
Luxembourg1.0447 → 0.9503−0.0943
Macau1.7287 → 1.6461−0.0826
Barbados0.8566 → 0.7838−0.0729
Hong Kong1.0495 → 0.9768−0.0727
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 2005.
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-2005-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) (2005). Total Factor Productivity Level, 2005 [data set], describing 2005. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2005
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2004120 countries
The year after ›
Total Factor Productivity Level, 2006120 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