Data for 2015
Total Factor Productivity Level, 2015
2015, 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, 2015 covers 120 countries. Macau is highest, at 1.41301; Burundi is lowest, at 0.21398. The middle country reads 0.64355. Against 2014, 119 values changed (62 up, 57 down), the same countries are covered.
Total Factor Productivity Level · Data for 2015
HighestMacau
1.41301LowestBurundi
0.21398Shaded 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, 2015, 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 | 1.41301 |
IRLNorthern Europe | 1.19812 |
EGYNorthern Africa | 1.18689 |
MUSEastern Africa | 1.11004 |
NORNorthern Europe | 1.05883 |
USANorthern America | 1.00000 |
DEUWestern Europe | 0.98190 |
FRAWestern Europe | 0.96212 |
CHEWestern Europe | 0.95565 |
LUXWestern Europe | 0.95368 |
NLDWestern Europe | 0.94668 |
TURWestern Asia | 0.92868 |
DNKNorthern Europe | 0.92132 |
SWENorthern Europe | 0.91784 |
BELWestern Europe | 0.91580 |
POLEastern Europe | 0.90213 |
PANCentral America | 0.90140 |
ISLNorthern Europe | 0.89662 |
TTOCaribbean | 0.89634 |
AUTWestern Europe | 0.86745 |
NZLAustralia and New Zealand | 0.85006 |
MLTSouthern Europe | 0.84401 |
TWNEastern Asia | 0.84212 |
CHLSouth America | 0.83896 |
ESPSouthern Europe | 0.83811 |
CANNorthern America | 0.83299 |
GBRNorthern Europe | 0.83013 |
FINNorthern Europe | 0.82875 |
IRNSouthern Asia | 0.82804 |
AUSAustralia and New Zealand | 0.81625 |
SGPSouth-eastern Asia | 0.81125 |
ARGSouth America | 0.80211 |
URYSouth America | 0.80210 |
SDNNorthern Africa | 0.79622 |
SWZSouthern Africa | 0.77361 |
FJIMelanesia | 0.76418 |
SAUWestern Asia | 0.76403 |
ITASouthern Europe | 0.75365 |
LTUNorthern Europe | 0.75213 |
CRICentral America | 0.74613 |
BHRWestern Asia | 0.74407 |
BGREastern Europe | 0.74172 |
KWTWestern Asia | 0.73036 |
ISRWestern Asia | 0.72931 |
CIVWestern Africa | 0.72232 |
ROUEastern Europe | 0.71902 |
LKASouthern Asia | 0.70481 |
CYPWestern Asia | 0.70373 |
JPNEastern Asia | 0.70124 |
MEXCentral America | 0.69618 |
PRTSouthern Europe | 0.69133 |
SVKEastern Europe | 0.67924 |
HKGEastern Asia | 0.67758 |
KAZCentral Asia | 0.66037 |
KOREastern Asia | 0.65973 |
HRVSouthern Europe | 0.65835 |
ZAFSouthern Africa | 0.65610 |
PRYSouth America | 0.65600 |
GTMCentral America | 0.65489 |
ESTNorthern Europe | 0.64933 |
ARMWestern Asia | 0.63778 |
NAMSouthern Africa | 0.63712 |
TUNNorthern Africa | 0.63623 |
DOMCaribbean | 0.63011 |
HUNEastern Europe | 0.61853 |
SVNSouthern Europe | 0.61214 |
MYSSouth-eastern Asia | 0.60453 |
CZEEastern Europe | 0.59823 |
QATWestern Asia | 0.59798 |
IRQWestern Asia | 0.59240 |
COLSouth America | 0.59138 |
BWASouthern Africa | 0.58798 |
JORWestern Asia | 0.58698 |
NGAWestern Africa | 0.57763 |
ALBSouthern Europe | 0.57081 |
LVANorthern Europe | 0.57012 |
MDAEastern Europe | 0.56275 |
PHLSouth-eastern Asia | 0.54907 |
GRCSouthern Europe | 0.54373 |
SRBSouthern Europe | 0.53377 |
BRASouth America | 0.52033 |
MARNorthern Africa | 0.51646 |
SLVCentral America | 0.51051 |
RUSEastern Europe | 0.50999 |
THASouth-eastern Asia | 0.50365 |
BENWestern Africa | 0.49667 |
MRTWestern Africa | 0.49633 |
SENWestern Africa | 0.48494 |
PERSouth America | 0.48093 |
LAOSouth-eastern Asia | 0.47666 |
ECUSouth America | 0.47041 |
GABMiddle Africa | 0.46742 |
ZWEEastern Africa | 0.45845 |
SLEWestern Africa | 0.45675 |
KGZCentral Asia | 0.45670 |
BOLSouth America | 0.44217 |
IDNSouth-eastern Asia | 0.43911 |
NICCentral America | 0.43254 |
KENEastern Africa | 0.42958 |
BRBCaribbean | 0.42554 |
CHNEastern Asia | 0.41483 |
LSOSouthern Africa | 0.41259 |
CMRMiddle Africa | 0.40826 |
BFAWestern Africa | 0.40825 |
INDSouthern Asia | 0.39418 |
HNDCentral America | 0.39062 |
JAMCaribbean | 0.38135 |
AGOMiddle Africa | 0.37530 |
RWAEastern Africa | 0.37152 |
MNGEastern Asia | 0.37056 |
VENSouth America | 0.36934 |
TZAEastern Africa | 0.36168 |
UKREastern Europe | 0.34830 |
TGOWestern Africa | 0.30942 |
ZMBEastern Africa | 0.29995 |
MOZEastern Africa | 0.28808 |
NERWestern Africa | 0.26246 |
CAFMiddle Africa | 0.22106 |
TJKCentral Asia | 0.21521 |
BDIEastern Africa | 0.21398 |
02In 2015
At either end
The 5 countries at each end of the headline.
Lowest
Burundi0.21398
Tajikistan0.21521
Central African Republic0.22106
Niger0.26246
Mozambique0.28808
A higher value is the better result. The middle country reads 0.64355. “Shared” marks a value another country also holds.
032014 → 2015
Since 2014
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 62 · 57rose · fell
- 1unchanged
Rose most
Ireland1.03128 → 1.19812+0.16684
Malta0.72693 → 0.84401+0.11708
Luxembourg0.86656 → 0.95368+0.08712
Albania0.51178 → 0.57081+0.05903
Sudan0.74716 → 0.79622+0.04906
Fell most
Macau2.14052 → 1.41301−0.72751
Kuwait1.11159 → 0.73036−0.38123
Venezuela0.61483 → 0.36934−0.24548
Qatar0.80379 → 0.59798−0.20580
Kyrgyzstan0.65299 → 0.45670−0.19629
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 2015.
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-2015-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) (2015). Total Factor Productivity Level, 2015 [data set], describing 2015. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2015
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2014120 countries
The year after ›
Total Factor Productivity Level, 2016120 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