Data for 2018
Total Factor Productivity Level, 2018
2018, 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, 2018 covers 120 countries. Macau is highest, at 1.40264; Central African Republic is lowest, at 0.20920. The middle country reads 0.64468. Against 2017, 119 values changed (48 up, 71 down), the same countries are covered.
Total Factor Productivity Level · Data for 2018
HighestMacau
1.40264LowestCentral African Republic
0.20920Shaded 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, 2018, 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 | 1.40264 |
MUSEastern Africa | 1.22325 |
EGYNorthern Africa | 1.22095 |
NORNorthern Europe | 1.09137 |
IRLNorthern Europe | 1.02046 |
DEUWestern Europe | 1.01597 |
USANorthern America | 1.00000 |
LUXWestern Europe | 0.96402 |
NLDWestern Europe | 0.95875 |
TURWestern Asia | 0.94662 |
CHEWestern Europe | 0.94010 |
POLEastern Europe | 0.93832 |
FRAWestern Europe | 0.92639 |
DNKNorthern Europe | 0.91570 |
ARGSouth America | 0.88698 |
SWENorthern Europe | 0.87812 |
SWZSouthern Africa | 0.87686 |
AUSAustralia and New Zealand | 0.87486 |
NZLAustralia and New Zealand | 0.87271 |
AUTWestern Europe | 0.87006 |
BELWestern Europe | 0.86972 |
SGPSouth-eastern Asia | 0.86192 |
CHLSouth America | 0.85791 |
SAUWestern Asia | 0.85486 |
MLTSouthern Europe | 0.85232 |
CANNorthern America | 0.85187 |
PANCentral America | 0.83862 |
ESPSouthern Europe | 0.83861 |
GBRNorthern Europe | 0.83299 |
ISLNorthern Europe | 0.82307 |
TWNEastern Asia | 0.81922 |
FINNorthern Europe | 0.81800 |
IRNSouthern Asia | 0.80961 |
URYSouth America | 0.80618 |
KWTWestern Asia | 0.79916 |
CRICentral America | 0.79883 |
ROUEastern Europe | 0.78051 |
GABMiddle Africa | 0.77645 |
FJIMelanesia | 0.77545 |
BGREastern Europe | 0.76188 |
ITASouthern Europe | 0.76049 |
LTUNorthern Europe | 0.76040 |
IRQWestern Asia | 0.73935 |
BHRWestern Asia | 0.73720 |
HKGEastern Asia | 0.71713 |
ISRWestern Asia | 0.71060 |
CIVWestern Africa | 0.70267 |
TTOCaribbean | 0.70077 |
LKASouthern Asia | 0.69367 |
TUNNorthern Africa | 0.69059 |
MEXCentral America | 0.68953 |
PRTSouthern Europe | 0.68646 |
ARMWestern Asia | 0.68512 |
ESTNorthern Europe | 0.68435 |
JPNEastern Asia | 0.66895 |
CYPWestern Asia | 0.66732 |
KOREastern Asia | 0.66532 |
SDNNorthern Africa | 0.65514 |
HRVSouthern Europe | 0.65144 |
SVNSouthern Europe | 0.64515 |
GTMCentral America | 0.64422 |
MYSSouth-eastern Asia | 0.63724 |
KAZCentral Asia | 0.63553 |
MDAEastern Europe | 0.63068 |
PRYSouth America | 0.62889 |
ZAFSouthern Africa | 0.61775 |
HUNEastern Europe | 0.61726 |
DOMCaribbean | 0.60955 |
CZEEastern Europe | 0.60823 |
BWASouthern Africa | 0.60610 |
SLEWestern Africa | 0.59967 |
LVANorthern Europe | 0.59736 |
SVKEastern Europe | 0.58875 |
COLSouth America | 0.58497 |
QATWestern Asia | 0.58425 |
NAMSouthern Africa | 0.58393 |
MRTWestern Africa | 0.57469 |
JORWestern Asia | 0.56693 |
THASouth-eastern Asia | 0.55390 |
PHLSouth-eastern Asia | 0.53641 |
GRCSouthern Europe | 0.53335 |
RUSEastern Europe | 0.53065 |
SRBSouthern Europe | 0.51715 |
BRASouth America | 0.50237 |
NGAWestern Africa | 0.49836 |
MARNorthern Africa | 0.49331 |
LAOSouth-eastern Asia | 0.48517 |
ECUSouth America | 0.48401 |
SLVCentral America | 0.46595 |
BENWestern Africa | 0.46220 |
PERSouth America | 0.46114 |
ALBSouthern Europe | 0.45810 |
KENEastern Africa | 0.45465 |
IDNSouth-eastern Asia | 0.45431 |
KGZCentral Asia | 0.45063 |
CMRMiddle Africa | 0.44812 |
BOLSouth America | 0.44610 |
CHNEastern Asia | 0.43928 |
INDSouthern Asia | 0.42225 |
MNGEastern Asia | 0.41506 |
BFAWestern Africa | 0.41356 |
SENWestern Africa | 0.41085 |
NICCentral America | 0.39965 |
TZAEastern Africa | 0.38185 |
JAMCaribbean | 0.37593 |
AGOMiddle Africa | 0.37376 |
HNDCentral America | 0.36963 |
BRBCaribbean | 0.36242 |
RWAEastern Africa | 0.34478 |
LSOSouthern Africa | 0.34349 |
UKREastern Europe | 0.34191 |
TGOWestern Africa | 0.31416 |
ZWEEastern Africa | 0.31159 |
ZMBEastern Africa | 0.28061 |
MOZEastern Africa | 0.26118 |
NERWestern Africa | 0.25490 |
VENSouth America | 0.23231 |
BDIEastern Africa | 0.20940 |
TJKCentral Asia | 0.20922 |
CAFMiddle Africa | 0.20920 |
02In 2018
At either end
The 5 countries at each end of the headline.
Lowest
Central African Republic0.20920
Tajikistan0.20922
Burundi0.20940
Venezuela0.23231
Niger0.25490
A higher value is the better result. The middle country reads 0.64468. “Shared” marks a value another country also holds.
032017 → 2018
Since 2017
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 48 · 71rose · fell
- 1unchanged
Rose most
Gabon0.57449 → 0.77645+0.20196
Saudi Arabia0.71758 → 0.85486+0.13728
Kuwait0.66500 → 0.79916+0.13416
Venezuela0.10706 → 0.23231+0.12524
Iraq0.63775 → 0.73935+0.10159
Fell most
Sudan1.16305 → 0.65514−0.50792
Zimbabwe0.45703 → 0.31159−0.14544
Albania0.57516 → 0.45810−0.11706
Armenia0.79629 → 0.68512−0.11117
Kyrgyzstan0.55107 → 0.45063−0.10045
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 2018.
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-2018-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) (2018). Total Factor Productivity Level, 2018 [data set], describing 2018. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2018
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2017120 countries
The year after ›
Total Factor Productivity Level, 2019120 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