Data for 1982
Total Factor Productivity Level, 1982
1982, 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, 1982 covers 105 countries. Bulgaria is highest, at 2.5634; China is lowest, at 0.1914. The middle country reads 0.8311. Against 1981, 104 values changed (48 up, 56 down), the same countries are covered.
Total Factor Productivity Level · Data for 1982
HighestBulgaria
2.5634LowestChina
0.1914Shaded 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, 1982, 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 | 2.5634 |
EGYNorthern Africa | 1.7039 |
MUSEastern Africa | 1.5460 |
TTOCaribbean | 1.5265 |
MEXCentral America | 1.4374 |
MLTSouthern Europe | 1.2972 |
ZWEEastern Africa | 1.2476 |
SLEWestern Africa | 1.2308 |
MACEastern Asia | 1.2211 |
ITASouthern Europe | 1.1752 |
ISLNorthern Europe | 1.1730 |
NLDWestern Europe | 1.1524 |
BELWestern Europe | 1.1481 |
FRAWestern Europe | 1.1460 |
KWTWestern Asia | 1.0918 |
HKGEastern Asia | 1.0672 |
SAUWestern Asia | 1.0650 |
PRTSouthern Europe | 1.0572 |
ECUSouth America | 1.0471 |
GBRNorthern Europe | 1.0444 |
CANNorthern America | 1.0433 |
ESPSouthern Europe | 1.0379 |
SENWestern Africa | 1.0357 |
NICCentral America | 1.0353 |
BRBCaribbean | 1.0328 |
CHEWestern Europe | 1.0229 |
GABMiddle Africa | 1.0151 |
TURWestern Asia | 1.0056 |
PANCentral America | 1.0039 |
TWNEastern Asia | 1.0032 |
DNKNorthern Europe | 1.0021 |
MARNorthern Africa | 1.0005 |
USANorthern America | 1.0000 |
IRQWestern Asia | 0.9981 |
LUXWestern Europe | 0.9873 |
ISRWestern Asia | 0.9848 |
TUNNorthern Africa | 0.9740 |
AUTWestern Europe | 0.9514 |
VENSouth America | 0.9424 |
QATWestern Asia | 0.9379 |
NORNorthern Europe | 0.9197 |
JORWestern Asia | 0.9115 |
SWENorthern Europe | 0.9062 |
AUSAustralia and New Zealand | 0.8930 |
GTMCentral America | 0.8911 |
SWZSouthern Africa | 0.8846 |
ZAFSouthern Africa | 0.8760 |
CRICentral America | 0.8617 |
FJIMelanesia | 0.8497 |
FINNorthern Europe | 0.8462 |
CYPWestern Asia | 0.8457 |
NZLAustralia and New Zealand | 0.8322 |
SLVCentral America | 0.8311 |
URYSouth America | 0.8259 |
NAMSouthern Africa | 0.8193 |
SGPSouth-eastern Asia | 0.8135 |
DOMCaribbean | 0.7983 |
CIVWestern Africa | 0.7978 |
DEUWestern Europe | 0.7920 |
COLSouth America | 0.7871 |
IRLNorthern Europe | 0.7608 |
BRASouth America | 0.7525 |
RWAEastern Africa | 0.7488 |
SDNNorthern Africa | 0.7448 |
JPNEastern Asia | 0.7371 |
PRYSouth America | 0.7322 |
CHLSouth America | 0.7314 |
IRNSouthern Asia | 0.7267 |
HNDCentral America | 0.7225 |
GRCSouthern Europe | 0.7005 |
PERSouth America | 0.6974 |
CMRMiddle Africa | 0.6894 |
ARGSouth America | 0.6687 |
PHLSouth-eastern Asia | 0.6683 |
ROUEastern Europe | 0.6647 |
THASouth-eastern Asia | 0.6455 |
MRTWestern Africa | 0.6442 |
BWASouthern Africa | 0.6433 |
HUNEastern Europe | 0.6317 |
BENWestern Africa | 0.6232 |
IDNSouth-eastern Asia | 0.6222 |
LKASouthern Asia | 0.5787 |
KENEastern Africa | 0.5727 |
BHRWestern Asia | 0.5659 |
POLEastern Europe | 0.5624 |
BFAWestern Africa | 0.5619 |
MYSSouth-eastern Asia | 0.5556 |
KOREastern Asia | 0.5293 |
LSOSouthern Africa | 0.5094 |
MOZEastern Africa | 0.4968 |
ZMBEastern Africa | 0.4902 |
CAFMiddle Africa | 0.4850 |
JAMCaribbean | 0.4648 |
AGOMiddle Africa | 0.4392 |
LAOSouth-eastern Asia | 0.4147 |
NERWestern Africa | 0.4102 |
ALBSouthern Europe | 0.3906 |
NGAWestern Africa | 0.3825 |
TZAEastern Africa | 0.3737 |
TGOWestern Africa | 0.3679 |
MNGEastern Asia | 0.3642 |
BOLSouth America | 0.3626 |
INDSouthern Asia | 0.2999 |
BDIEastern Africa | 0.2753 |
CHNEastern Asia | 0.1914 |
02In 1982
At either end
The 5 countries at each end of the headline.
031981 → 1982
Since 1981
- +0 / −0countries joined / left
- 104values changed, of 105 in both
- 48 · 56rose · fell
- 1unchanged
Rose most
Fell most
Benin0.9056 → 0.6232−0.2824
Qatar1.1188 → 0.9379−0.1809
Saudi Arabia1.2143 → 1.0650−0.1493
Kuwait1.2272 → 1.0918−0.1354
Egypt1.8147 → 1.7039−0.1108
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 1982.
Nothing missing
Every one of the 105 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
105 rows · 4.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download total-factor-productivity-1982-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) (1982). Total Factor Productivity Level, 1982 [data set], describing 1982. As held by Nations Inquiry, https://nationsinquiry.com/datasets/total-factor-productivity/1982
0654 held
Other years
‹ The year before
Total Factor Productivity Level, 1981105 countries
The year after ›
Total Factor Productivity Level, 1983105 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