Data for 1983
Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983
1983, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983 covers 168 countries. Equatorial Guinea is highest, at 99.46; 14 countries share the lowest reading, 0.00. The middle country reads 15.56. Against 1982, 145 values changed (69 up, 76 down), the same countries are covered.
Poverty Headcount at $3.00 a Day, Line-up Estimates · Data for 1983
HighestEquatorial Guinea
99.46Lowest14 countries share it
0.00Shaded by value in five groups of equal size, darkest at the lowest end. A higher value is the worse result.
01Values only
The table
Every country and every column of Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 168 countries · select a heading to sort
| 99.46 | extrapolation | consumption | |
| 94.32 | interpolation | income | |
| 93.88 | extrapolation | consumption | |
| 90.74 | extrapolation | consumption | |
| 90.70 | extrapolation | consumption | |
| 89.82 | extrapolation | consumption | |
| 88.54 | extrapolation | consumption | |
| 88.54 | extrapolation | consumption | |
| 87.65 | extrapolation | consumption | |
| 87.31 | extrapolation | consumption | |
| 85.74 | extrapolation | income | |
| 84.00 | extrapolation | consumption | |
| 82.94 | extrapolation | consumption | |
| 82.82 | extrapolation | consumption | |
| 81.59 | extrapolation | consumption | |
| 79.37 | extrapolation | consumption | |
| 78.56 | extrapolation | consumption | |
| 77.36 | extrapolation | consumption | |
| 76.94 | extrapolation | consumption | |
| 76.65 | extrapolation | consumption | |
| 74.92 | extrapolation | consumption | |
| 74.54 | extrapolation | consumption | |
| 73.40 | extrapolation | consumption | |
| 73.22 | extrapolation | consumption | |
| 72.96 | interpolation | consumption | |
| 72.74 | extrapolation | consumption | |
| 72.25 | extrapolation | income | |
| 71.64 | extrapolation | consumption | |
| 69.12 | extrapolation | consumption | |
| 69.08 | extrapolation | consumption | |
| 67.54 | extrapolation | consumption | |
| 66.77 | extrapolation | consumption | |
| 64.60 | extrapolation | consumption | |
| 64.24 | extrapolation | consumption | |
| 64.12 | extrapolation | consumption | |
| 61.94 | extrapolation | income | |
| 60.58 | extrapolation | consumption | |
| 60.02 | extrapolation | consumption | |
| 58.74 | extrapolation | consumption | |
| 57.06 | extrapolation | consumption | |
| 56.96 | extrapolation | income | |
| 53.70 | extrapolation | income | |
| 53.22 | extrapolation | consumption | |
| 50.87 | survey | consumption | |
| 50.53 | extrapolation | consumption | |
| 50.50 | extrapolation | consumption | |
| 49.26 | extrapolation | consumption | |
| 47.65 | extrapolation | consumption | |
| 45.80 | extrapolation | consumption | |
| 44.30 | extrapolation | income | |
| 41.82 | extrapolation | consumption | |
| 40.77 | extrapolation | income | |
| 38.30 | extrapolation | consumption | |
| 37.73 | survey | income | |
| 35.97 | extrapolation | income | |
| 35.46 | extrapolation | consumption | |
| 32.85 | extrapolation | consumption | |
| 32.29 | extrapolation | consumption | |
| 30.64 | interpolation | income | |
| 30.05 | interpolation | consumption | |
| 29.76 | extrapolation | consumption | |
| 29.10 | extrapolation | consumption | |
| 28.62 | extrapolation | consumption | |
| 26.93 | extrapolation | consumption | |
| 26.50 | extrapolation | income | |
| 24.61 | extrapolation | consumption | |
| 24.58 | extrapolation | income | |
| 24.12 | extrapolation | consumption | |
| 23.71 | extrapolation | income | |
| 23.34 | extrapolation | consumption | |
| 23.33 | extrapolation | consumption | |
| 22.71 | extrapolation | income | |
| 22.44 | extrapolation | consumption | |
| 21.61 | extrapolation | consumption | |
| 21.18 | extrapolation | income | |
| 21.11 | extrapolation | consumption | |
| 20.45 | extrapolation | income | |
| 20.06 | extrapolation | consumption | |
| 19.63 | extrapolation | consumption | |
| 18.97 | extrapolation | consumption | |
| 18.14 | extrapolation | consumption | |
| 18.08 | interpolation | income | |
| 17.40 | extrapolation | consumption | |
| 15.82 | extrapolation | consumption | |
| 15.30 | extrapolation | income | |
| 15.24 | extrapolation | consumption | |
| 14.59 | extrapolation | consumption | |
| 14.32 | extrapolation | consumption | |
| 14.17 | interpolation | income | |
| 12.84 | extrapolation | consumption | |
| 12.52 | extrapolation | consumption | |
| 11.70 | extrapolation | consumption | |
| 11.60 | extrapolation | consumption | |
| 11.24 | extrapolation | consumption | |
| 10.22 | extrapolation | consumption | |
| 9.01 | extrapolation | consumption | |
| 9.00 | extrapolation | consumption | |
| 8.87 | extrapolation | consumption | |
| 8.09 | extrapolation | consumption | |
| 8.09 | extrapolation | income | |
| 7.78 | extrapolation | consumption | |
| 7.60 | extrapolation | income | |
| 7.03 | extrapolation | income | |
| 6.56 | extrapolation | consumption | |
| 6.04 | extrapolation | income | |
| 5.74 | extrapolation | consumption | |
| 5.70 | extrapolation | consumption | |
| 4.92 | extrapolation | income | |
| 4.65 | extrapolation | income | |
| 4.20 | extrapolation | consumption | |
| 3.82 | extrapolation | consumption | |
| 3.72 | extrapolation | consumption | |
| 3.54 | extrapolation | income | |
| 3.38 | extrapolation | consumption | |
| 3.18 | extrapolation | consumption | |
| 2.48 | extrapolation | consumption | |
| 2.19 | extrapolation | consumption | |
| 2.09 | extrapolation | consumption | |
| 2.02 | extrapolation | income | |
| 1.91 | extrapolation | consumption | |
| 1.78 | extrapolation | income | |
| 1.67 | extrapolation | consumption | |
| 1.67 | extrapolation | consumption | |
| 1.51 | extrapolation | income | |
| 1.49 | extrapolation | consumption | |
| 1.30 | extrapolation | income | |
| 1.11 | extrapolation | income | |
| 1.05 | interpolation | income | |
| 0.87 | extrapolation | income | |
| 0.82 | extrapolation | income | |
| 0.81 | interpolation | income | |
| 0.70 | survey | income | |
| 0.67 | interpolation | income | |
| 0.64 | survey | income | |
| 0.61 | interpolation | income | |
| 0.61 | extrapolation | income | |
| 0.60 | interpolation | income | |
| 0.38 | interpolation | income | |
| 0.38 | interpolation | income | |
| 0.34 | interpolation | income | |
| 0.27 | extrapolation | income | |
| 0.26 | extrapolation | income | |
| 0.23 | extrapolation | consumption | |
| 0.22 | interpolation | income | |
| 0.18 | survey | income | |
| 0.15 | extrapolation | income | |
| 0.12 | extrapolation | consumption | |
| 0.10 | extrapolation | income | |
| 0.09 | extrapolation | consumption | |
| 0.08 | interpolation | income | |
| 0.05 | extrapolation | income | |
| 0.04 | survey | income | |
| 0.03 | extrapolation | income | |
| 0.01 | extrapolation | income | |
| 0.00 | extrapolation | consumption | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | consumption | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | consumption | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income | |
| 0.00 | extrapolation | income |
02In 1983
At either end
The 5 countries at each end of the headline.
Highest
Equatorial Guinea99.46
China94.32
Eswatini93.88
Myanmar90.74
Mali90.70
Lowest
Trinidad and Tobagoshared0.00
Sloveniashared0.00
Romaniashared0.00
Qatarshared0.00
Polandshared0.00
A higher value is the worse result. The middle country reads 15.56. “Shared” marks a value another country also holds.
031982 → 1983
Since 1982
What changed between 1982 and this one: who joined or left, and how far the headline moved.
- +0 / −0countries joined / left
- 145values changed, of 168 in both
- 69 · 76rose · fell
- 23unchanged
Rose most
Fell most
Maldives77.22 → 73.22−4.00
India54.62 → 50.87−3.75
Chad77.96 → 74.54−3.42
Costa Rica33.94 → 30.64−3.30
Tuvalu32.69 → 29.76−2.93
Both years come from the same release, so a difference here is a change in the data, not a revision of it. Every country’s full history is charted on the statistic page.
04Caveats
Read before you use
What this edition’s numbers are and are not, worked out from the file itself.
One year of the 2026 release
Every year in this series comes from World Bank Group’s 2026 release, recalculated on one method. It can differ from what was first published for 1983.
150 distinct values among 168
Values are stored exactly as published, to 2 decimals. 14 countries share 0.00. Countries sharing a value share a position too.
Which end is better
A higher value is the worse result.
Nothing missing
Every one of the 168 countries has every column.
05The files
Download and cite
The table as a file, digit for digit, what this site changed, and a citation for this edition.
- .csv
For a spreadsheet or code
168 rows · 8.4 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download poverty-headcount-lineup-1983-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
pip
What this site changed: Reshaped into one row per country: regional and income-group totals are left out, only the columns listed are kept, each row gets its ISO 3166 code, and some country names are brought to one spelling. No value is recalculated, rescaled or rounded.
Licence: CC BY 4.0. Share, adapt and use commercially. Credit the publisher and say if you changed anything.
Cite this edition
World Bank Group (1983). Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983 [data set], describing 1983. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount-lineup/1983
0644 held
Other years
‹ The year before
Poverty Headcount at $3.00 a Day, Line-up Estimates, 1982168 countries
The year after ›
Poverty Headcount at $3.00 a Day, Line-up Estimates, 1984168 countries
All of them
Poverty Headcount at $3.00 a Day, Line-up Estimates: every year44 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983: questions and answers
Which country has the highest poverty, line-up estimates ($3.00 a day) in Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983?
Equatorial Guinea, at 99.46, of the 168 countries in the file.
What year does Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983 describe?
1983.
How many countries does Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983 cover?
168.
Where can I download Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Poverty Headcount at $3.00 a Day, Line-up Estimates, 1983 the newest?
No. The newest held here is Poverty Headcount at $3.00 a Day, Line-up Estimates, 2024.