Latest available · compiled 2017
Poverty Headcount Ratio at $3.00 a Day, 2017 compilation
Each country’s newest reading as of 2017; every row carries its own year · stored as published, never rewritten
Poverty Headcount Ratio at $3.00 a Day, 2017 compilation covers 79 countries. Zimbabwe is highest, at 44.66; 4 countries share the lowest reading, 0.00. The middle country reads 0.92. Against the 2016 compilation, 61 values changed (21 up, 40 down), 11 countries joined, 16 left.
Poverty Headcount Ratio at $3.00 a Day · Latest available · compiled 2017
HighestZimbabwe
44.66Lowest4 countries share it
0.00Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Poverty Headcount Ratio at $3.00 a Day, 2017 compilation, as published. World Bank Group ranks nobody on this measure; the position is derived here by ordering the published values. “=” marks a shared position.
Showing 25 of 79 countries · select a heading to sort
| derived | ||||
|---|---|---|---|---|
| 1 | ZWEEastern Africa · 2017 reading | 44.66 | consumption | 2017 |
| 2 | LSOSouthern Africa | 41.86 | consumption | 2017.14 |
| 3 | DJIEastern Africa · 2017 reading | 25.36 | consumption | 2017 |
| 4 | HNDCentral America · 2017 reading | 19.33 | income | 2017 |
| 5 | XKXSouthern Europe · 2017 reading | 15.22 | income | 2017 |
| 6 | IDNSouth-eastern Asia · 2017 reading | 14.76 | consumption | 2017 |
| 7 | STPMiddle Africa · 2017 reading | 13.01 | consumption | 2017 |
| 8 | GEOWestern Asia · 2017 reading | 11.07 | consumption | 2017 |
| 9 | MMRSouth-eastern Asia · 2017 reading | 10.27 | consumption | 2017 |
| 10 | COLSouth America · 2017 reading | 9.53 | income | 2017 |
| 11 | KGZCentral Asia · 2017 reading | 8.19 | consumption | 2017 |
| 12 | PERSouth America · 2017 reading | 7.31 | income | 2017 |
| 13 | BRASouth America · 2017 reading | 6.96 | income | 2017 |
| 14 | SRBSouthern Europe · 2017 reading | 6.65 | income | 2017 |
| 15 | BOLSouth America · 2017 reading | 6.41 | income | 2017 |
| 16 | MKDSouthern Europe · 2017 reading | 5.64 | income | 2017 |
| 17 | ROUEastern Europe · 2017 reading | 4.90 | income | 2017 |
| 18 | MNESouthern Europe · 2017 reading | 4.65 | income | 2017 |
| 19 | SLVCentral America · 2017 reading | 4.55 | income | 2017 |
| =20 | ECUSouth America · 2017 reading | 4.28 | income | 2017 |
| =20 | PANCentral America · 2017 reading | 4.28 | income | 2017 |
| 22 | GABMiddle Africa · 2017 reading | 3.81 | consumption | 2017 |
| 23 | EGYNorthern Africa | 3.11 | consumption | 2017.75 |
| 24 | IRNSouthern Asia | 2.67 | consumption | 2017.23 |
| 25 | BTNSouthern Asia · 2017 reading | 2.61 | consumption | 2017 |
| 26 | PRYSouth America · 2017 reading | 2.38 | income | 2017 |
| 27 | ARMWestern Asia · 2017 reading | 2.36 | consumption | 2017 |
| 28 | BGREastern Europe · 2017 reading | 2.00 | income | 2017 |
| 29 | CRICentral America · 2017 reading | 1.75 | income | 2017 |
| 30 | CHNEastern Asia · 2017 reading | 1.57 | consumption | 2017 |
| 31 | ITASouthern Europe · 2017 reading | 1.54 | income | 2017 |
| 32 | DOMCaribbean · 2017 reading | 1.52 | income | 2017 |
| 33 | ALBSouthern Europe · 2017 reading | 1.44 | consumption | 2017 |
| 34 | USANorthern America · 2017 reading | 1.30 | income | 2017 |
| 35 | LTUNorthern Europe · 2017 reading | 1.17 | income | 2017 |
| 36 | TURWestern Asia · 2017 reading | 1.13 | income | 2017 |
| 37 | ARGSouth America · 2017 reading | 1.11 | income | 2017 |
| 38 | GRCSouthern Europe · 2017 reading | 1.07 | income | 2017 |
| 39 | LVANorthern Europe · 2017 reading | 0.98 | income | 2017 |
| 40 | HUNEastern Europe · 2017 reading | 0.92 | income | 2017 |
| 41 | ESPSouthern Europe · 2017 reading | 0.83 | income | 2017 |
| 42 | ISRWestern Asia · 2017 reading | 0.70 | income | 2017 |
| 43 | HRVSouthern Europe · 2017 reading | 0.62 | income | 2017 |
| 44 | JPNEastern Asia · 2017 reading | 0.60 | income | 2017 |
| 45 | SVKEastern Europe · 2017 reading | 0.58 | income | 2017 |
| 46 | MUSEastern Africa · 2017 reading | 0.54 | consumption | 2017 |
| 47 | ESTNorthern Europe · 2017 reading | 0.52 | income | 2017 |
| 48 | CHLSouth America · 2017 reading | 0.48 | income | 2017 |
| 49 | PRTSouthern Europe · 2017 reading | 0.44 | income | 2017 |
| 50 | POLEastern Europe · 2017 reading | 0.42 | income | 2017 |
| =51 | CANNorthern America · 2017 reading | 0.40 | income | 2017 |
| =51 | GBRNorthern Europe · 2017 reading | 0.40 | income | 2017 |
| 53 | RUSEastern Europe · 2017 reading | 0.39 | income | 2017 |
| 54 | AUTWestern Europe · 2017 reading | 0.35 | income | 2017 |
| 55 | IRLNorthern Europe · 2017 reading | 0.30 | income | 2017 |
| =56 | LUXWestern Europe · 2017 reading | 0.29 | income | 2017 |
| =56 | NORNorthern Europe · 2017 reading | 0.29 | income | 2017 |
| 58 | SWENorthern Europe · 2017 reading | 0.27 | income | 2017 |
| 59 | NLDWestern Europe · 2017 reading | 0.21 | income | 2017 |
| =60 | DEUWestern Europe · 2017 reading | 0.20 | income | 2017 |
| =60 | KOREastern Asia · 2017 reading | 0.20 | income | 2017 |
| 62 | BELWestern Europe · 2017 reading | 0.17 | income | 2017 |
| 63 | MLTSouthern Europe · 2017 reading | 0.16 | income | 2017 |
| 64 | DNKNorthern Europe · 2017 reading | 0.14 | income | 2017 |
| =65 | KAZCentral Asia · 2017 reading | 0.12 | consumption | 2017 |
| =65 | URYSouth America · 2017 reading | 0.12 | income | 2017 |
| =67 | TWNEastern Asia · 2017 reading | 0.10 | income | 2017 |
| =67 | THASouth-eastern Asia · 2017 reading | 0.10 | consumption | 2017 |
| =69 | FINNorthern Europe · 2017 reading | 0.08 | income | 2017 |
| =69 | UKREastern Europe · 2017 reading | 0.08 | consumption | 2017 |
| 71 | MDAEastern Europe · 2017 reading | 0.06 | consumption | 2017 |
| 72 | CYPWestern Asia · 2017 reading | 0.05 | income | 2017 |
| 73 | BLREastern Europe · 2017 reading | 0.03 | consumption | 2017 |
| =74 | FRAWestern Europe · 2017 reading | 0.02 | income | 2017 |
| =74 | CHEWestern Europe · 2017 reading | 0.02 | income | 2017 |
| =76 | CZEEastern Europe · 2017 reading | 0.00 | income | 2017 |
| =76 | ISLNorthern Europe · 2017 reading | 0.00 | income | 2017 |
| =76 | QATWestern Asia | 0.00 | income | 2017.5 |
| =76 | SVNSouthern Europe · 2017 reading | 0.00 | income | 2017 |
02In Poverty Headcount Ratio at $3.00 a Day, 2017 compilation
At either end
The 5 countries at each end of the headline.
032016 → 2017
Since the 2016 compilation
What changed between the 2016 compilation and this one: who joined or left, and how far the headline moved.
- +11 / −16countries joined / left
- 61values changed, of 68 in both
- 21 · 40rose · fell
- 7unchanged
Rose most
Kosovo2.02 → 15.22+13.20
Montenegro3.32 → 4.65+1.33
Georgia10.47 → 11.07+0.60
Brazil6.49 → 6.96+0.47
Albania1.14 → 1.44+0.30
Fell most
Indonesia18.05 → 14.76−3.29
Paraguay4.17 → 2.38−1.79
Dominican Republic2.96 → 1.52−1.44
Serbia8.09 → 6.65−1.44
El Salvador5.77 → 4.55−1.22
Changes in value, not in places: a country’s place also moves when others do. 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.
Readings from many years
Each country’s newest reading as of 2017, from 2017 to 2017.
68 distinct values among 79
Values are stored exactly as published, to 2 decimals. 4 countries share 0.00. Countries sharing a value share a position too.
The position is ours
World Bank Group publishes values only; the order is this site’s.
Nothing missing
Every one of the 79 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
79 rows · 3.8 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download poverty-headcount-2017-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 · what it allows, in plain words
Cite this edition
World Bank Group (2017). Poverty Headcount Ratio at $3.00 a Day, 2017 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount/2017
0622 held
Other editions
‹ The edition before
Poverty Headcount Ratio at $3.00 a Day, 2016 compilation84 countries
The edition after ›
Poverty Headcount Ratio at $3.00 a Day, 2018 compilation94 countries
All of them
Poverty Headcount Ratio at $3.00 a Day: every edition22 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Poverty Headcount Ratio at $3.00 a Day, 2017 compilation: questions and answers
Which country has the highest extreme poverty ($3.00 a day) in Poverty Headcount Ratio at $3.00 a Day, 2017 compilation?
Zimbabwe, at 44.66, of the 79 countries in the file.
How many countries does Poverty Headcount Ratio at $3.00 a Day, 2017 compilation cover?
79.
Where can I download Poverty Headcount Ratio at $3.00 a Day, 2017 compilation?
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 Ratio at $3.00 a Day, 2017 compilation the newest?
No. The newest held here is Poverty Headcount Ratio at $3.00 a Day, 2023 compilation.