Data for 2000
Poverty Headcount at $3.00 a Day, Line-up Estimates, 2000
2000, as World Bank Group’s 2026 release gives it · stored as published, never rewritten
These are the World Bank’s line-up estimates of the share of people living on less than $3.00 a day: one figure for every country in every year, the numbers the Bank adds up into its regional and world poverty counts. Where a country ran no household survey in a year, the Bank estimates the figure from the surveys it did run.
Poverty Headcount at $3.00 a Day, Line-up Estimates, 2000 covers 171 countries. DR Congo is highest, at 95.12; 7 countries share the lowest reading, 0.00. The middle country reads 16.14. Against 1999, 161 values changed (64 up, 97 down), 1 country joined.
Poverty Headcount at $3.00 a Day, Line-up Estimates · Data for 2000
HighestDR Congo
95.12Lowest7 countries share it
0.00Shaded by value in five groups of equal size, darkest at the lowest end.
01Values only
The table
Every country and every column of Poverty Headcount at $3.00 a Day, Line-up Estimates, 2000, as published. The file carries values only, so no position is shown. “=” marks a shared position.
Showing 25 of 171 countries · select a heading to sort
CODMiddle Africa | 95.12 | extrapolation | consumption |
UZBCentral Asia | 93.76 | survey | consumption |
MOZEastern Africa | 87.89 | interpolation | consumption |
NERWestern Africa | 87.18 | interpolation | consumption |
BDIEastern Africa | 86.98 | interpolation | consumption |
TZAEastern Africa | 86.64 | interpolation | consumption |
RWAEastern Africa | 83.04 | extrapolation | consumption |
MLIWestern Africa | 82.64 | interpolation | consumption |
BFAWestern Africa | 82.02 | interpolation | consumption |
UGAEastern Africa | 80.60 | interpolation | consumption |
MMRSouth-eastern Asia | 79.48 | extrapolation | consumption |
CAFMiddle Africa | 76.80 | interpolation | consumption |
SLEWestern Africa | 75.69 | extrapolation | consumption |
TJKCentral Asia | 74.94 | interpolation | consumption |
HTICaribbean | 74.48 | extrapolation | income |
TCDMiddle Africa | 74.29 | extrapolation | consumption |
BENWestern Africa | 72.04 | extrapolation | consumption |
MDGEastern Africa | 70.72 | interpolation | consumption |
LSOSouthern Africa | 70.46 | interpolation | consumption |
MWIEastern Africa | 67.63 | interpolation | consumption |
KGZCentral Asia | 66.17 | survey | consumption |
SWZSouthern Africa | 66.12 | interpolation | consumption |
GNQMiddle Africa | 66.02 | extrapolation | consumption |
GNBWestern Africa | 65.90 | interpolation | consumption |
IDNSouth-eastern Asia | 65.67 | survey | consumption |
TGOWestern Africa | 64.92 | extrapolation | consumption |
GHAWestern Africa | 64.90 | interpolation | consumption |
PNGMelanesia | 64.70 | interpolation | consumption |
SENWestern Africa | 64.59 | interpolation | consumption |
SLBMelanesia | 63.27 | extrapolation | consumption |
ETHEastern Africa | 62.64 | interpolation | consumption |
ZMBEastern Africa | 61.75 | interpolation | consumption |
GMBWestern Africa | 60.53 | interpolation | consumption |
NGAWestern Africa | 60.44 | interpolation | consumption |
NPLSouthern Asia | 58.40 | interpolation | consumption |
TLSSouth-eastern Asia | 57.64 | extrapolation | consumption |
COGMiddle Africa | 56.26 | extrapolation | consumption |
CHNEastern Asia | 54.70 | interpolation | consumption |
PAKSouthern Asia | 53.08 | interpolation | consumption |
LAOSouth-eastern Asia | 51.57 | interpolation | consumption |
NAMSouthern Africa | 51.44 | extrapolation | consumption |
LBRWestern Africa | 48.69 | extrapolation | consumption |
GINWestern Africa | 47.60 | interpolation | consumption |
ZAFSouthern Africa | 47.54 | interpolation | consumption |
INDSouthern Asia | 46.92 | interpolation | consumption |
BGDSouthern Asia | 41.38 | survey | consumption |
CIVWestern Africa | 41.37 | interpolation | consumption |
MDAEastern Europe | 41.00 | survey | consumption |
VNMSouth-eastern Asia | 40.84 | interpolation | consumption |
LCACaribbean | 39.40 | extrapolation | income |
CPVWestern Africa | 38.19 | extrapolation | consumption |
KENEastern Africa | 37.98 | interpolation | consumption |
MNGEastern Asia | 35.21 | interpolation | consumption |
GEOWestern Asia | 35.03 | survey | consumption |
CMRMiddle Africa | 34.75 | interpolation | consumption |
BWASouthern Africa | 34.71 | interpolation | consumption |
ECUSouth America | 34.06 | survey | income |
DJIEastern Africa | 32.66 | extrapolation | consumption |
MRTWestern Africa | 30.65 | interpolation | consumption |
BTNSouthern Asia | 29.82 | extrapolation | consumption |
TKMCentral Asia | 29.11 | extrapolation | consumption |
PHLSouth-eastern Asia | 28.78 | survey | consumption |
BOLSouth America | 28.26 | survey | income |
NICCentral America | 28.24 | interpolation | consumption |
HNDCentral America | 28.21 | interpolation | income |
AGOMiddle Africa | 27.00 | extrapolation | consumption |
BLREastern Europe | 26.50 | survey | consumption |
COMEastern Africa | 26.31 | extrapolation | consumption |
VUTMelanesia | 25.97 | extrapolation | consumption |
PERSouth America | 25.54 | survey | income |
ZWEEastern Africa | 24.78 | extrapolation | consumption |
ARMWestern Asia | 23.99 | interpolation | consumption |
COLSouth America | 23.92 | survey | income |
KAZCentral Asia | 21.72 | interpolation | consumption |
MDVSouthern Asia | 19.86 | extrapolation | consumption |
LKASouthern Asia | 19.42 | interpolation | consumption |
KIRMicronesia | 18.90 | extrapolation | consumption |
BRASouth America | 18.46 | interpolation | income |
SLVCentral America | 18.44 | survey | income |
MARNorthern Africa | 17.78 | interpolation | consumption |
STPMiddle Africa | 17.58 | extrapolation | consumption |
SDNNorthern Africa | 17.13 | extrapolation | consumption |
YEMWestern Asia | 16.50 | interpolation | consumption |
PANCentral America | 16.35 | survey | income |
MEXCentral America | 16.34 | survey | income |
FSMMicronesia | 16.14 | extrapolation | consumption |
VENSouth America | 15.64 | interpolation | income |
PRYSouth America | 14.42 | interpolation | income |
NRUMicronesia | 13.35 | extrapolation | consumption |
AZEWestern Asia | 13.28 | interpolation | consumption |
BLZCentral America | 13.14 | interpolation | consumption |
GUYSouth America | 12.88 | extrapolation | income |
IRNSouthern Asia | 12.27 | interpolation | consumption |
XKXSouthern Europe | 12.19 | extrapolation | consumption |
ROUEastern Europe | 11.90 | survey | consumption |
MKDSouthern Europe | 11.66 | survey | consumption |
TUNNorthern Africa | 10.51 | survey | consumption |
UKREastern Europe | 10.00 | interpolation | consumption |
CRICentral America | 9.78 | survey | income |
GTMCentral America | 8.80 | survey | income |
CHLSouth America | 8.60 | survey | income |
GABMiddle Africa | 8.58 | extrapolation | consumption |
TUVPolynesia | 8.43 | extrapolation | consumption |
THASouth-eastern Asia | 8.42 | survey | consumption |
DOMCaribbean | 8.26 | survey | income |
WSMPolynesia | 7.84 | extrapolation | consumption |
DZANorthern Africa | 7.62 | interpolation | consumption |
TURWestern Asia | 7.46 | interpolation | consumption |
ARGSouth America | 7.34 | survey | income |
MHLMicronesia | 6.67 | extrapolation | consumption |
JAMCaribbean | 6.45 | interpolation | consumption |
BGREastern Europe | 5.88 | interpolation | consumption |
FJIMelanesia | 5.64 | extrapolation | consumption |
RUSEastern Europe | 5.12 | survey | consumption |
TONPolynesia | 4.60 | extrapolation | consumption |
ALBSouthern Europe | 3.75 | interpolation | consumption |
MYSSouth-eastern Asia | 3.12 | interpolation | income |
ESTNorthern Europe | 2.98 | survey | consumption |
LVANorthern Europe | 2.49 | interpolation | consumption |
MUSEastern Africa | 2.44 | extrapolation | consumption |
SYCEastern Africa | 2.38 | interpolation | consumption |
SURSouth America | 2.20 | extrapolation | consumption |
PSEWestern Asia | 1.76 | extrapolation | consumption |
GRDCaribbean | 1.68 | extrapolation | consumption |
BRBCaribbean | 1.58 | extrapolation | consumption |
SVKEastern Europe | 1.55 | interpolation | income |
ITASouthern Europe | 1.24 | survey | income |
URYSouth America | 1.24 | extrapolation | income |
LTUNorthern Europe | 1.22 | survey | consumption |
JPNEastern Asia | 1.09 | extrapolation | income |
PRTSouthern Europe | 1.08 | extrapolation | income |
SYRWestern Asia | 1.00 | interpolation | consumption |
JORWestern Asia | 0.94 | interpolation | consumption |
AUSAustralia and New Zealand | 0.84 | interpolation | income |
ESPSouthern Europe | 0.81 | survey | income |
USANorthern America | 0.72 | survey | income |
BIHSouthern Europe | 0.64 | extrapolation | consumption |
SRBSouthern Europe | 0.62 | extrapolation | consumption |
MLTSouthern Europe | 0.54 | extrapolation | income |
KOREastern Asia | 0.54 | extrapolation | income |
MNESouthern Europe | 0.40 | extrapolation | consumption |
ISRWestern Asia | 0.39 | interpolation | income |
IRQWestern Asia | 0.38 | extrapolation | consumption |
POLEastern Europe | 0.34 | survey | consumption |
CANNorthern America | 0.32 | survey | income |
NLDWestern Europe | 0.31 | interpolation | income |
BELWestern Europe | 0.30 | survey | income |
EGYNorthern Africa | 0.28 | interpolation | consumption |
GBRNorthern Europe | 0.24 | survey | income |
GRCSouthern Europe | 0.22 | survey | income |
NORNorthern Europe | 0.21 | survey | income |
HUNEastern Europe | 0.14 | survey | consumption |
IRLNorthern Europe | 0.12 | survey | income |
CYPWestern Asia | 0.09 | extrapolation | income |
AUTWestern Europe | 0.08 | survey | income |
LBNWestern Asia | 0.08 | extrapolation | consumption |
SWENorthern Europe | 0.08 | survey | income |
CHEWestern Europe | 0.08 | survey | income |
FRAWestern Europe | 0.07 | survey | income |
DNKNorthern Europe | 0.04 | survey | income |
DEUWestern Europe | 0.04 | survey | income |
ISLNorthern Europe | 0.03 | extrapolation | income |
CZEEastern Europe | 0.01 | interpolation | income |
FINNorthern Europe | 0.01 | survey | income |
HRVSouthern Europe | 0.00 | survey | consumption |
LUXWestern Europe | 0.00 | survey | income |
QATWestern Asia | 0.00 | extrapolation | income |
SVNSouthern Europe | 0.00 | interpolation | consumption |
TWNEastern Asia | 0.00 | survey | income |
TTOCaribbean | 0.00 | extrapolation | income |
AREWestern Asia | 0.00 | extrapolation | income |
02In 2000
At either end
The 5 countries at each end of the headline.
Highest
DR Congo95.12
Uzbekistan93.76
Mozambique87.89
Niger87.18
Burundi86.98
Lowest
Taiwanshared0.00
Trinidad and Tobagoshared0.00
Sloveniashared0.00
Qatarshared0.00
Luxembourgshared0.00
A higher value is the worse result. The middle country reads 16.14. “Shared” marks a value another country also holds.
031999 → 2000
Since 1999
- +1 / −0countries joined / left
- 161values changed, of 170 in both
- 64 · 97rose · fell
- 9unchanged
Rose most
Uzbekistan86.52 → 93.76+7.24
Ecuador26.94 → 34.06+7.12
Solomon Islands57.26 → 63.27+6.01
North Macedonia7.36 → 11.66+4.30
Mali78.94 → 82.64+3.70
Fell most
Timor-Leste81.61 → 57.64−23.97
Ukraine24.84 → 10.00−14.84
Liberia59.40 → 48.69−10.71
Belize22.49 → 13.14−9.35
Madagascar78.52 → 70.72−7.80
04Caveats
Read before you use
One year of the 2026 release
Every year in this series comes from World Bank Group’s 2026 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 2000.
158 distinct values among 171
Values are stored exactly as published, to 2 decimals. 7 countries share 0.00. Countries sharing a value share a position too.
Nothing missing
Every one of the 171 countries has every column.
05The files
Download and cite
- .csv
For a spreadsheet or code
171 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-2000-nations-inquiry.csv - ↗
The publisher’s original
World Bank Group’s own file, on its own site.
pip
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
World Bank Group (2000). Poverty Headcount at $3.00 a Day, Line-up Estimates, 2000 [data set], describing 2000. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount-lineup/2000
0644 held
Other years
‹ The year before
Poverty Headcount at $3.00 a Day, Line-up Estimates, 1999170 countries
The year after ›
Poverty Headcount at $3.00 a Day, Line-up Estimates, 2001171 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