Data for 2008
Total Factor Productivity Level, 2008
2008, 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, 2008 covers 120 countries. Macau is highest, at 1.63932; Burundi is lowest, at 0.15893. The middle country reads 0.67360. Against 2007, 119 values changed (44 up, 75 down), the same countries are covered.
Total Factor Productivity Level · Data for 2008
HighestMacau
1.63932LowestBurundi
0.15893Shaded 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, 2008, 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 | 1.63932 |
NORNorthern Europe | 1.47553 |
KWTWestern Asia | 1.36929 |
IRNSouthern Asia | 1.25551 |
IRLNorthern Europe | 1.16257 |
NLDWestern Europe | 1.12712 |
MUSEastern Africa | 1.09966 |
TTOCaribbean | 1.06548 |
GBRNorthern Europe | 1.03300 |
EGYNorthern Africa | 1.02562 |
FRAWestern Europe | 1.02486 |
DEUWestern Europe | 1.00912 |
BELWestern Europe | 1.00615 |
USANorthern America | 1.00000 |
QATWestern Asia | 0.99539 |
DNKNorthern Europe | 0.98814 |
SWENorthern Europe | 0.98247 |
TURWestern Asia | 0.96424 |
AUTWestern Europe | 0.95389 |
CANNorthern America | 0.93818 |
FINNorthern Europe | 0.92846 |
CHEWestern Europe | 0.92713 |
PANCentral America | 0.92361 |
LUXWestern Europe | 0.91520 |
VENSouth America | 0.91478 |
ESPSouthern Europe | 0.89808 |
TWNEastern Asia | 0.89617 |
BGREastern Europe | 0.89582 |
ISLNorthern Europe | 0.89505 |
BHRWestern Asia | 0.89081 |
ITASouthern Europe | 0.87980 |
NZLAustralia and New Zealand | 0.87476 |
AUSAustralia and New Zealand | 0.87432 |
CYPWestern Asia | 0.87060 |
POLEastern Europe | 0.86900 |
SAUWestern Asia | 0.86265 |
MLTSouthern Europe | 0.84381 |
SWZSouthern Africa | 0.83820 |
HKGEastern Asia | 0.83144 |
BWASouthern Africa | 0.81582 |
ZAFSouthern Africa | 0.80945 |
MEXCentral America | 0.80907 |
ARGSouth America | 0.80312 |
CHLSouth America | 0.79218 |
PRTSouthern Europe | 0.77692 |
SGPSouth-eastern Asia | 0.76952 |
LTUNorthern Europe | 0.75364 |
NAMSouthern Africa | 0.73752 |
SVKEastern Europe | 0.72890 |
SVNSouthern Europe | 0.72836 |
ROUEastern Europe | 0.72288 |
ISRWestern Asia | 0.71622 |
HRVSouthern Europe | 0.71205 |
GRCSouthern Europe | 0.70874 |
JPNEastern Asia | 0.70729 |
HUNEastern Europe | 0.70431 |
BRBCaribbean | 0.70346 |
URYSouth America | 0.70006 |
KOREastern Asia | 0.69260 |
GTMCentral America | 0.68698 |
MYSSouth-eastern Asia | 0.66022 |
CIVWestern Africa | 0.65575 |
DOMCaribbean | 0.65417 |
LKASouthern Asia | 0.64708 |
CRICentral America | 0.63874 |
SLVCentral America | 0.63765 |
FJIMelanesia | 0.62940 |
ESTNorthern Europe | 0.61398 |
TUNNorthern Africa | 0.60706 |
BRASouth America | 0.59572 |
ARMWestern Asia | 0.59429 |
IRQWestern Asia | 0.58041 |
CZEEastern Europe | 0.57761 |
LVANorthern Europe | 0.55633 |
PRYSouth America | 0.55039 |
COLSouth America | 0.53446 |
ALBSouthern Europe | 0.52749 |
RUSEastern Europe | 0.52416 |
LSOSouthern Africa | 0.52332 |
MARNorthern Africa | 0.52328 |
JORWestern Asia | 0.52185 |
BENWestern Africa | 0.51357 |
PERSouth America | 0.51175 |
SENWestern Africa | 0.50894 |
KGZCentral Asia | 0.50731 |
KAZCentral Asia | 0.50346 |
GABMiddle Africa | 0.50229 |
PHLSouth-eastern Asia | 0.49255 |
SRBSouthern Europe | 0.48351 |
SDNNorthern Africa | 0.48242 |
THASouth-eastern Asia | 0.47289 |
ECUSouth America | 0.46559 |
NICCentral America | 0.45919 |
IDNSouth-eastern Asia | 0.42382 |
UKREastern Europe | 0.42198 |
HNDCentral America | 0.41889 |
MDAEastern Europe | 0.41529 |
CHNEastern Asia | 0.41307 |
KENEastern Africa | 0.41083 |
MRTWestern Africa | 0.40693 |
BFAWestern Africa | 0.40455 |
BOLSouth America | 0.40427 |
CAFMiddle Africa | 0.40121 |
LAOSouth-eastern Asia | 0.39494 |
MOZEastern Africa | 0.39469 |
CMRMiddle Africa | 0.38532 |
AGOMiddle Africa | 0.38019 |
INDSouthern Asia | 0.36892 |
NGAWestern Africa | 0.36710 |
SLEWestern Africa | 0.36552 |
JAMCaribbean | 0.35364 |
TZAEastern Africa | 0.34892 |
RWAEastern Africa | 0.34857 |
ZMBEastern Africa | 0.33927 |
TJKCentral Asia | 0.33546 |
TGOWestern Africa | 0.31320 |
MNGEastern Asia | 0.30911 |
NERWestern Africa | 0.26075 |
ZWEEastern Africa | 0.18971 |
BDIEastern Africa | 0.15893 |
02In 2008
At either end
The 5 countries at each end of the headline.
032007 → 2008
Since 2007
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 44 · 75rose · fell
- 1unchanged
Rose most
Kuwait1.18540 → 1.36929+0.18389
Bahrain0.71611 → 0.89081+0.17470
Botswana0.70104 → 0.81582+0.11479
Egypt0.92517 → 1.02562+0.10045
Saudi Arabia0.76926 → 0.86265+0.09339
Fell most
Singapore0.95667 → 0.76952−0.18715
Eswatini0.98198 → 0.83820−0.14378
Hong Kong0.95784 → 0.83144−0.12641
Mauritius1.19799 → 1.09966−0.09833
Luxembourg1.00679 → 0.91520−0.09159
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 2008.
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-2008-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) (2008). Total Factor Productivity Level, 2008 [data set], describing 2008. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2008
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2007120 countries
The year after ›
Total Factor Productivity Level, 2009120 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