Latest available · compiled 2015

Poverty Headcount Ratio at $4.20 a Day, 2015 compilation

Name: Poverty Headcount Ratio at $4.20 a Day, 2015 compilation
Creator: World Bank Group
License: https://datacatalog.worldbank.org/public-licenses

Each country’s newest reading as of 2015; every row carries its own year · stored as published, never rewritten

This is the share of a country’s people living on less than $4.20 a day at 2021 purchasing power parities — the World Bank’s poverty line for lower-middle-income countries, between its $3.00 extreme-poverty line and its $8.30 upper-middle-income line.

Poverty Headcount Ratio at $4.20 a Day, 2015 compilation covers 87 countries. Benin is highest, at 83.40; Slovenia is lowest, at 0.00. The middle country reads 3.04. Against the 2014 compilation, 61 values changed (22 up, 39 down), 22 countries joined, 19 left.

Download CSV Cite this edition

Share this page

Poverty Headcount Ratio at $4.20 a Day · Latest available · compiled 2015

HighestBenin

83.40

LowestSlovenia

0.00

Shaded by value in five groups of equal size, darkest at the lowest end.

87countries
1measure
2015compiled · readings from many years
81distinct values2 decimals, as published
Sep 29, 2026read from the publisher
CC BY 4.0licence

01Position · derived

The table

Every country and every column of Poverty Headcount Ratio at $4.20 a Day, 2015 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.

Search this table

Showing 25 of 87 countries · select a heading to sort

Poverty Headcount Ratio at $4.20 a Day, 2015 compilation: every country, as published by World Bank Group.
derived
1	Benin`BEN`Western Africa · 2015 reading	83.40	consumption	2015
2	Zambia`ZMB`Eastern Africa · 2015 reading	78.42	consumption	2015
3	Togo`TGO`Western Africa · 2015 reading	76.25	consumption	2015
4	Côte d’Ivoire`CIV`Western Africa · 2015 reading	64.65	consumption	2015
5	Kenya`KEN`Eastern Africa	56.85	consumption	2015.67
6	Ethiopia`ETH`Eastern Africa	56.07	consumption	2015.5
7	Nigeria`NGA`Western Africa	55.80	consumption	2015.5
8	Pakistan`PAK`Southern Asia	44.78	consumption	2015.5
9	Indonesia`IDN`South-eastern Asia · 2015 reading	43.44	consumption	2015
10	Myanmar`MMR`South-eastern Asia · 2015 reading	40.65	consumption	2015
11	Gambia`GMB`Western Africa	37.69	consumption	2015.31
12	Botswana`BWA`Southern Africa	35.77	consumption	2015.85
13	Namibia`NAM`Southern Africa	35.01	consumption	2015.27
14	Kyrgyzstan`KGZ`Central Asia · 2015 reading	34.57	consumption	2015
15	Philippines`PHL`South-eastern Asia · 2015 reading	30.75	income	2015
16	Honduras`HND`Central America · 2015 reading	30.63	income	2015
17	Tajikistan`TJK`Central Asia · 2015 reading	29.79	consumption	2015
18	Cabo Verde`CPV`Western Africa · 2015 reading	29.69	consumption	2015
19	Georgia`GEO`Western Asia · 2015 reading	23.83	consumption	2015
20	Colombia`COL`South America · 2015 reading	17.38	income	2015
21	Tonga`TON`Polynesia · 2015 reading	15.08	consumption	2015
22	Peru`PER`South America · 2015 reading	14.01	income	2015
23	El Salvador`SLV`Central America · 2015 reading	13.02	income	2015
24	Romania`ROU`Eastern Europe · 2015 reading	12.93	income	2015
25	Serbia`SRB`Southern Europe · 2015 reading	12.31	income	2015
26	China`CHN`Eastern Asia · 2015 reading	10.62	consumption	2015
27	North Macedonia`MKD`Southern Europe · 2015 reading	10.11	income	2015
28	Armenia`ARM`Western Asia · 2015 reading	9.46	consumption	2015
29	Brazil`BRA`South America · 2015 reading	9.43	income	2015
30	Ecuador`ECU`South America · 2015 reading	9.20	income	2015
31	Panama`PAN`Central America · 2015 reading	8.86	income	2015
32	Bolivia`BOL`South America · 2015 reading	8.80	income	2015
33	Paraguay`PRY`South America · 2015 reading	8.76	income	2015
34	Montenegro`MNE`Southern Europe · 2015 reading	8.49	income	2015
35	Iran`IRN`Southern Asia	8.38	consumption	2015.23
36	Kosovo`XKX`Southern Europe · 2015 reading	7.57	consumption	2015
37	Dominican Republic`DOM`Caribbean · 2015 reading	7.48	income	2015
38	Egypt`EGY`Northern Africa · 2015 reading	7.07	consumption	2015
39	Bulgaria`BGR`Eastern Europe · 2015 reading	6.40	income	2015
40	Costa Rica`CRI`Central America · 2015 reading	4.73	income	2015
41	Albania`ALB`Southern Europe · 2015 reading	4.72	consumption	2015
42	Türkiye`TUR`Western Asia · 2015 reading	4.11	consumption	2015
43	Greece`GRC`Southern Europe · 2015 reading	3.12	income	2015
44	Bosnia and Herzegovina`BIH`Southern Europe · 2015 reading	3.04	consumption	2015
45	Tunisia`TUN`Northern Africa	2.85	consumption	2015.42
46	Italy`ITA`Southern Europe · 2015 reading	2.56	income	2015
47	Latvia`LVA`Northern Europe · 2015 reading	1.72	income	2015
48	Chile`CHL`South America · 2015 reading	1.57	income	2015
49	Hungary`HUN`Eastern Europe · 2015 reading	1.54	income	2015
50	Spain`ESP`Southern Europe · 2015 reading	1.51	income	2015
51	Lithuania`LTU`Northern Europe · 2015 reading	1.49	income	2015
52	United States`USA`Northern America · 2015 reading	1.40	income	2015
53	Croatia`HRV`Southern Europe · 2015 reading	1.31	income	2015
54	Portugal`PRT`Southern Europe · 2015 reading	1.29	income	2015
55	Slovakia`SVK`Eastern Europe · 2015 reading	1.27	income	2015
56	Ukraine`UKR`Eastern Europe · 2015 reading	1.25	consumption	2015
57	Estonia`EST`Northern Europe · 2015 reading	0.98	income	2015
58	Israel`ISR`Western Asia · 2015 reading	0.90	income	2015
59	Poland`POL`Eastern Europe · 2015 reading	0.86	income	2015
=60	Moldova`MDA`Eastern Europe · 2015 reading	0.83	consumption	2015
=60	Sweden`SWE`Northern Europe · 2015 reading	0.83	income	2015
62	Thailand`THA`South-eastern Asia · 2015 reading	0.80	consumption	2015
63	Russia`RUS`Eastern Europe · 2015 reading	0.78	income	2015
=64	Austria`AUT`Western Europe · 2015 reading	0.73	income	2015
=64	Kazakhstan`KAZ`Central Asia · 2015 reading	0.73	consumption	2015
66	Uruguay`URY`South America · 2015 reading	0.66	income	2015
67	Japan`JPN`Eastern Asia · 2015 reading	0.60	income	2015
68	Ireland`IRL`Northern Europe · 2015 reading	0.53	income	2015
69	Canada`CAN`Northern America · 2015 reading	0.50	income	2015
=70	Malaysia`MYS`South-eastern Asia	0.40	income	2015.88
=70	United Kingdom`GBR`Northern Europe · 2015 reading	0.40	income	2015
72	Luxembourg`LUX`Western Europe · 2015 reading	0.37	income	2015
73	Saint Lucia`LCA`Caribbean	0.31	consumption	2015.78
74	Belarus`BLR`Eastern Europe · 2015 reading	0.30	consumption	2015
75	Denmark`DNK`Northern Europe · 2015 reading	0.26	income	2015
=76	France`FRA`Western Europe · 2015 reading	0.21	income	2015
=76	Norway`NOR`Northern Europe · 2015 reading	0.21	income	2015
78	Belgium`BEL`Western Europe · 2015 reading	0.20	income	2015
79	Netherlands`NLD`Western Europe · 2015 reading	0.13	income	2015
80	Finland`FIN`Northern Europe · 2015 reading	0.11	income	2015
=81	Germany`DEU`Western Europe · 2015 reading	0.10	income	2015
=81	Malta`MLT`Southern Europe · 2015 reading	0.10	income	2015
83	Cyprus`CYP`Western Asia · 2015 reading	0.09	income	2015
=84	Iceland`ISL`Northern Europe · 2015 reading	0.03	income	2015
=84	Switzerland`CHE`Western Europe · 2015 reading	0.03	income	2015
86	Czechia`CZE`Eastern Europe · 2015 reading	0.02	income	2015
87	Slovenia`SVN`Southern Europe · 2015 reading	0.00	income	2015

02In Poverty Headcount Ratio at $4.20 a Day, 2015 compilation

At either end

The 5 countries at each end of the headline.

Highest

1Benin83.40
2Zambia78.42
3Togo76.25
4Côte d’Ivoire64.65
5Kenya56.85

Lowest

87Slovenia0.00
86Czechia0.02
84Icelandshared0.03
84Switzerlandshared0.03
83Cyprus0.09

A higher value is the worse result. The middle country reads 3.04. “Shared” marks a value another country also holds.

032014 → 2015

Since the 2014 compilation

+22 / −19countries joined / left
61values changed, of 65 in both
22 · 39rose · fell
4unchanged

Rose most

Kyrgyzstan30.75 → 34.57+3.82
Bulgaria4.32 → 6.40+2.08
Ecuador8.18 → 9.20+1.02
Ukraine0.30 → 1.25+0.95
Italy1.84 → 2.56+0.72

Fell most

Albania12.50 → 4.72−7.78
Indonesia47.71 → 43.44−4.27
Kosovo10.95 → 7.57−3.38
China13.74 → 10.62−3.12
El Salvador15.58 → 13.02−2.56

+ Benin

+ Bosnia and Herzegovina

+ Botswana

+ Chile

+ Côte d’Ivoire

+ Cabo Verde

+ Egypt

+ Ethiopia

+ Gambia

+ Kenya

+ Saint Lucia

+ Myanmar

+ Malaysia

+ Namibia

+ Nigeria

+ Pakistan

+ Philippines

+ Togo

+ Tajikistan

+ Tonga

+ Tunisia

+ Zambia

− Argentina

− Australia

− Burkina Faso

− Cameroon

− Comoros

− Guatemala

− South Korea

− Liberia

− Mexico

− Mongolia

− Mozambique

− Mauritania

− Niger

− Nicaragua

− Sudan

− Timor-Leste

− Vietnam

− Yemen

− South Africa

Changes in value, not in places: a country’s place also moves when others do.

04Caveats

Read before you use

How values are stored

Readings from many years
Each country’s newest reading as of 2015, from 2015 to 2015.
81 distinct values among 87
Values are stored exactly as published, to 2 decimals. 2 countries share 0.83. Countries sharing a value share a position too.
Nothing missing
Every one of the 87 countries has every column.

05The files

Download and cite

Licence in full

.csv
For a spreadsheet or code
87 rows · 4.1 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download poverty-headcount-420-2015-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 (2015). Poverty Headcount Ratio at $4.20 a Day, 2015 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-headcount-420/2015

0622 held

Other editions

‹ The edition before
Poverty Headcount Ratio at $4.20 a Day, 2014 compilation
84 countries
The edition after ›
Poverty Headcount Ratio at $4.20 a Day, 2016 compilation
84 countries
All of them
Poverty Headcount Ratio at $4.20 a Day: every edition
22 held, with the data dictionary, coverage and licence.
How it has moved, charted by country

This edition

The same ranking, cut differently

Behind the number

Browse

By continent

Much-read profiles

Every subject

The numbers

Reading the data