Data for 2017
Total Factor Productivity Level, 2017
2017, 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, 2017 covers 120 countries. Macau is highest, at 1.3390; Venezuela is lowest, at 0.1071. The middle country reads 0.6552. Against 2016, 119 values changed (62 up, 57 down), the same countries are covered.
Total Factor Productivity Level · Data for 2017
HighestMacau
1.3390LowestVenezuela
0.1071Shaded 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, 2017, 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 | 1.3390 |
MUSEastern Africa | 1.2139 |
EGYNorthern Africa | 1.1890 |
SDNNorthern Africa | 1.1631 |
NORNorthern Europe | 1.0406 |
IRLNorthern Europe | 1.0325 |
LUXWestern Europe | 1.0285 |
DEUWestern Europe | 1.0162 |
USANorthern America | 1.0000 |
NLDWestern Europe | 0.9585 |
FRAWestern Europe | 0.9527 |
TURWestern Asia | 0.9405 |
CHEWestern Europe | 0.9325 |
DNKNorthern Europe | 0.9245 |
PANCentral America | 0.9195 |
POLEastern Europe | 0.9130 |
SWENorthern Europe | 0.9107 |
BELWestern Europe | 0.8992 |
NZLAustralia and New Zealand | 0.8914 |
ARGSouth America | 0.8847 |
IRNSouthern Asia | 0.8684 |
AUTWestern Europe | 0.8679 |
AUSAustralia and New Zealand | 0.8667 |
SGPSouth-eastern Asia | 0.8661 |
CANNorthern America | 0.8576 |
GBRNorthern Europe | 0.8574 |
ESPSouthern Europe | 0.8521 |
TWNEastern Asia | 0.8458 |
MLTSouthern Europe | 0.8441 |
FINNorthern Europe | 0.8428 |
ISLNorthern Europe | 0.8402 |
CRICentral America | 0.8337 |
CHLSouth America | 0.8269 |
URYSouth America | 0.8175 |
SWZSouthern Africa | 0.7993 |
ARMWestern Asia | 0.7963 |
FJIMelanesia | 0.7700 |
ITASouthern Europe | 0.7666 |
ROUEastern Europe | 0.7660 |
LTUNorthern Europe | 0.7619 |
BGREastern Europe | 0.7556 |
ISRWestern Asia | 0.7469 |
TTOCaribbean | 0.7330 |
MDAEastern Europe | 0.7285 |
CYPWestern Asia | 0.7195 |
SAUWestern Asia | 0.7176 |
KAZCentral Asia | 0.7158 |
CIVWestern Africa | 0.7139 |
TUNNorthern Africa | 0.7045 |
HRVSouthern Europe | 0.6962 |
BHRWestern Asia | 0.6907 |
MEXCentral America | 0.6886 |
PRTSouthern Europe | 0.6868 |
JPNEastern Asia | 0.6803 |
LKASouthern Asia | 0.6786 |
PRYSouth America | 0.6764 |
ESTNorthern Europe | 0.6698 |
KWTWestern Asia | 0.6650 |
KOREastern Asia | 0.6632 |
GTMCentral America | 0.6553 |
HKGEastern Asia | 0.6552 |
ZAFSouthern Africa | 0.6551 |
BWASouthern Africa | 0.6446 |
IRQWestern Asia | 0.6378 |
NAMSouthern Africa | 0.6356 |
SVNSouthern Europe | 0.6241 |
HUNEastern Europe | 0.6168 |
DOMCaribbean | 0.6133 |
CZEEastern Europe | 0.6110 |
SVKEastern Europe | 0.6102 |
MYSSouth-eastern Asia | 0.6040 |
LVANorthern Europe | 0.6014 |
MRTWestern Africa | 0.5881 |
COLSouth America | 0.5864 |
ALBSouthern Europe | 0.5752 |
GABMiddle Africa | 0.5745 |
JORWestern Asia | 0.5688 |
GRCSouthern Europe | 0.5556 |
PHLSouth-eastern Asia | 0.5538 |
KGZCentral Asia | 0.5511 |
NGAWestern Africa | 0.5443 |
THASouth-eastern Asia | 0.5414 |
RUSEastern Europe | 0.5366 |
SLEWestern Africa | 0.5350 |
QATWestern Asia | 0.5349 |
SRBSouthern Europe | 0.5331 |
MARNorthern Africa | 0.5137 |
BRASouth America | 0.5010 |
LAOSouth-eastern Asia | 0.4901 |
BENWestern Africa | 0.4814 |
SLVCentral America | 0.4797 |
ECUSouth America | 0.4766 |
PERSouth America | 0.4637 |
BOLSouth America | 0.4623 |
ZWEEastern Africa | 0.4570 |
NICCentral America | 0.4369 |
IDNSouth-eastern Asia | 0.4359 |
SENWestern Africa | 0.4341 |
CHNEastern Asia | 0.4324 |
KENEastern Africa | 0.4317 |
BFAWestern Africa | 0.4263 |
CMRMiddle Africa | 0.4211 |
INDSouthern Asia | 0.4048 |
BRBCaribbean | 0.3967 |
MNGEastern Asia | 0.3906 |
HNDCentral America | 0.3856 |
JAMCaribbean | 0.3825 |
LSOSouthern Africa | 0.3683 |
TZAEastern Africa | 0.3476 |
UKREastern Europe | 0.3465 |
AGOMiddle Africa | 0.3420 |
RWAEastern Africa | 0.3408 |
TGOWestern Africa | 0.3120 |
ZMBEastern Africa | 0.2881 |
MOZEastern Africa | 0.2593 |
NERWestern Africa | 0.2426 |
TJKCentral Asia | 0.2271 |
BDIEastern Africa | 0.2121 |
CAFMiddle Africa | 0.2098 |
VENSouth America | 0.1071 |
02In 2017
At either end
The 5 countries at each end of the headline.
Lowest
Venezuela0.1071
Central African Republic0.2098
Burundi0.2121
Tajikistan0.2271
Niger0.2426
A higher value is the better result. The middle country reads 0.6552. “Shared” marks a value another country also holds.
032016 → 2017
Since 2016
- +0 / −0countries joined / left
- 119values changed, of 120 in both
- 62 · 57rose · fell
- 1unchanged
Rose most
Moldova0.6303 → 0.7285+0.0981
Armenia0.7041 → 0.7963+0.0922
Gabon0.4828 → 0.5745+0.0917
Mauritania0.5235 → 0.5881+0.0645
Kyrgyzstan0.4893 → 0.5511+0.0618
Fell most
Venezuela0.2708 → 0.1071−0.1637
Hong Kong0.7179 → 0.6552−0.0627
Ireland1.0863 → 1.0325−0.0538
Senegal0.4754 → 0.4341−0.0413
Trinidad and Tobago0.7722 → 0.7330−0.0392
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 2017.
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-2017-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) (2017). Total Factor Productivity Level, 2017 [data set], describing 2017. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/2017
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 2016120 countries
The year after ›
Total Factor Productivity Level, 2018120 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