Data for 1990
Total Factor Productivity Level, 1990
1990, 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, 1990 covers 105 countries. Bulgaria is highest, at 2.4613; Nigeria is lowest, at 0.1965. The middle country reads 0.7366. Against 1989, 104 values changed (41 up, 63 down), the same countries are covered.
Total Factor Productivity Level · Data for 1990
HighestBulgaria
2.4613LowestNigeria
0.1965Shaded 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, 1990, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 105 countries · select a heading to sort
BGREastern Europe | 2.4613 |
MUSEastern Africa | 1.4286 |
MACEastern Asia | 1.4122 |
ZWEEastern Africa | 1.3690 |
BRBCaribbean | 1.1861 |
SWZSouthern Africa | 1.1664 |
LUXWestern Europe | 1.1245 |
TWNEastern Asia | 1.1075 |
HKGEastern Asia | 1.0832 |
TURWestern Asia | 1.0764 |
BELWestern Europe | 1.0663 |
NLDWestern Europe | 1.0525 |
FRAWestern Europe | 1.0487 |
EGYNorthern Africa | 1.0408 |
ITASouthern Europe | 1.0330 |
ESPSouthern Europe | 1.0088 |
ISLNorthern Europe | 1.0075 |
MEXCentral America | 1.0042 |
QATWestern Asia | 1.0003 |
USANorthern America | 1.0000 |
DNKNorthern Europe | 0.9774 |
MLTSouthern Europe | 0.9743 |
CANNorthern America | 0.9731 |
GBRNorthern Europe | 0.9712 |
TTOCaribbean | 0.9557 |
PANCentral America | 0.9481 |
SLEWestern Africa | 0.9378 |
NORNorthern Europe | 0.8948 |
CHEWestern Europe | 0.8843 |
IRQWestern Asia | 0.8840 |
CYPWestern Asia | 0.8780 |
AUTWestern Europe | 0.8738 |
SENWestern Africa | 0.8715 |
PRTSouthern Europe | 0.8660 |
ISRWestern Asia | 0.8510 |
AUSAustralia and New Zealand | 0.8465 |
DEUWestern Europe | 0.8435 |
SAUWestern Asia | 0.8428 |
FINNorthern Europe | 0.8344 |
FJIMelanesia | 0.8323 |
GABMiddle Africa | 0.8294 |
BWASouthern Africa | 0.8224 |
SWENorthern Europe | 0.8166 |
IRLNorthern Europe | 0.8146 |
SGPSouth-eastern Asia | 0.8129 |
GTMCentral America | 0.8101 |
NZLAustralia and New Zealand | 0.8079 |
TUNNorthern Africa | 0.7880 |
JPNEastern Asia | 0.7781 |
CRICentral America | 0.7470 |
SLVCentral America | 0.7415 |
VENSouth America | 0.7374 |
ZAFSouthern Africa | 0.7366 |
URYSouth America | 0.7339 |
MARNorthern Africa | 0.7089 |
ECUSouth America | 0.6956 |
DOMCaribbean | 0.6933 |
HNDCentral America | 0.6878 |
GRCSouthern Europe | 0.6696 |
KWTWestern Asia | 0.6643 |
COLSouth America | 0.6589 |
HUNEastern Europe | 0.6425 |
LKASouthern Asia | 0.6257 |
BHRWestern Asia | 0.6232 |
KOREastern Asia | 0.6180 |
SDNNorthern Africa | 0.6140 |
LSOSouthern Africa | 0.6009 |
MNGEastern Asia | 0.5998 |
POLEastern Europe | 0.5943 |
CHLSouth America | 0.5917 |
CIVWestern Africa | 0.5899 |
IDNSouth-eastern Asia | 0.5896 |
ARGSouth America | 0.5838 |
PRYSouth America | 0.5822 |
ROUEastern Europe | 0.5816 |
KENEastern Africa | 0.5705 |
PHLSouth-eastern Asia | 0.5689 |
BRASouth America | 0.5626 |
NICCentral America | 0.5556 |
IRNSouthern Asia | 0.5464 |
NAMSouthern Africa | 0.5410 |
CMRMiddle Africa | 0.5371 |
MRTWestern Africa | 0.5370 |
MYSSouth-eastern Asia | 0.5122 |
THASouth-eastern Asia | 0.5066 |
JAMCaribbean | 0.5045 |
RWAEastern Africa | 0.4828 |
JORWestern Asia | 0.4668 |
PERSouth America | 0.4410 |
CAFMiddle Africa | 0.4406 |
MOZEastern Africa | 0.4079 |
BENWestern Africa | 0.3783 |
BFAWestern Africa | 0.3764 |
ZMBEastern Africa | 0.3763 |
LAOSouth-eastern Asia | 0.3654 |
TGOWestern Africa | 0.3566 |
AGOMiddle Africa | 0.3534 |
BOLSouth America | 0.3517 |
ALBSouthern Europe | 0.3059 |
BDIEastern Africa | 0.3014 |
INDSouthern Asia | 0.2907 |
NERWestern Africa | 0.2803 |
CHNEastern Asia | 0.2429 |
TZAEastern Africa | 0.2365 |
NGAWestern Africa | 0.1965 |
02In 1990
At either end
The 5 countries at each end of the headline.
031989 → 1990
Since 1989
- +0 / −0countries joined / left
- 104values changed, of 105 in both
- 41 · 63rose · fell
- 1unchanged
Rose most
Fell most
Kuwait0.8344 → 0.6643−0.1701
Dominican Republic0.7889 → 0.6933−0.0956
Namibia0.6336 → 0.5410−0.0925
Senegal0.9566 → 0.8715−0.0851
Côte d’Ivoire0.6715 → 0.5899−0.0815
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 1990.
Nothing missing
Every one of the 105 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
105 rows · 4.5 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download total-factor-productivity-1990-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) (1990). Total Factor Productivity Level, 1990 [data set], describing 1990. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/1990
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 1989105 countries
The year after ›
Total Factor Productivity Level, 1991105 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