Latest available · compiled 2016

Poverty Gap at $3.00 a Day, 2016 compilation

Name: Poverty Gap at $3.00 a Day, 2016 compilation
Creator: World Bank Group
License: https://datacatalog.worldbank.org/public-licenses

Each country’s newest reading as of 2016; every row carries its own year · stored as published, never rewritten

Poverty Gap at $3.00 a Day, 2016 compilation covers 84 countries. South Sudan is highest, at 40.83; 4 countries share the lowest reading, 0.00. The middle country reads 0.44. Against the 2015 compilation, 57 values changed (22 up, 35 down), 19 countries joined, 22 left.

Download CSV Cite this edition

Share this page

Poverty Gap at $3.00 a Day · Latest available · compiled 2016

HighestSouth Sudan

40.83

Lowest4 countries share it

0.00

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

84countries
1measure
2016compiled · readings from many years
63distinct values2 decimals, as published
Sep 26, 2026read from the publisher
CC BY 4.0licence

01Position · derived

The table

Every country and every column of Poverty Gap at $3.00 a Day, 2016 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 84 countries · select a heading to sort

Poverty Gap at $3.00 a Day, 2016 compilation: every country, as published by World Bank Group.
derived
1	South Sudan`SSD`Eastern Africa	40.83	consumption	2016.5
2	Malawi`MWI`Eastern Africa	30.36	consumption	2016.31
3	Rwanda`RWA`Eastern Africa	25.79	consumption	2016.77
4	Uganda`UGA`Eastern Africa	23.66	consumption	2016.5
5	Eswatini`SWZ`Southern Africa	17.72	consumption	2016.17
6	Ghana`GHA`Western Africa	15.85	consumption	2016.75
7	Liberia`LBR`Western Africa · 2016 reading	9.88	consumption	2016
8	Honduras`HND`Central America · 2016 reading	8.10	income	2016
9	Serbia`SRB`Southern Europe · 2016 reading	4.60	income	2016
10	Colombia`COL`South America · 2016 reading	3.94	income	2016
11	Bangladesh`BGD`Southern Asia · 2016 reading	3.82	consumption	2016
12	Indonesia`IDN`South-eastern Asia · 2016 reading	3.70	consumption	2016
13	Bolivia`BOL`South America · 2016 reading	3.29	income	2016
14	Georgia`GEO`Western Asia · 2016 reading	2.68	consumption	2016
15	Brazil`BRA`South America · 2016 reading	2.45	income	2016
16	Peru`PER`South America · 2016 reading	2.30	income	2016
17	North Macedonia`MKD`Southern Europe · 2016 reading	2.25	income	2016
18	Montenegro`MNE`Southern Europe · 2016 reading	1.72	income	2016
=19	Ecuador`ECU`South America · 2016 reading	1.69	income	2016
=19	Romania`ROU`Eastern Europe · 2016 reading	1.69	income	2016
21	El Salvador`SLV`Central America · 2016 reading	1.37	income	2016
22	Panama`PAN`Central America · 2016 reading	1.35	income	2016
23	Kyrgyzstan`KGZ`Central Asia · 2016 reading	1.25	consumption	2016
24	Italy`ITA`Southern Europe · 2016 reading	1.24	income	2016
25	Mexico`MEX`Central America · 2016 reading	1.19	income	2016
26	Slovakia`SVK`Eastern Europe · 2016 reading	1.14	income	2016
27	Bulgaria`BGR`Eastern Europe · 2016 reading	1.11	income	2016
28	Paraguay`PRY`South America · 2016 reading	0.97	income	2016
29	Hungary`HUN`Eastern Europe · 2016 reading	0.95	income	2016
30	United States`USA`Northern America · 2016 reading	0.89	income	2016
31	Barbados`BRB`Caribbean · 2016 reading	0.87	consumption	2016
=32	Dominican Republic`DOM`Caribbean · 2016 reading	0.80	income	2016
=32	Lithuania`LTU`Northern Europe · 2016 reading	0.80	income	2016
34	Costa Rica`CRI`Central America · 2016 reading	0.79	income	2016
35	Spain`ESP`Southern Europe · 2016 reading	0.78	income	2016
36	Greece`GRC`Southern Europe · 2016 reading	0.69	income	2016
37	Iran`IRN`Southern Asia	0.59	consumption	2016.23
38	Sri Lanka`LKA`Southern Asia · 2016 reading	0.56	consumption	2016
39	Austria`AUT`Western Europe · 2016 reading	0.53	income	2016
40	Vietnam`VNM`South-eastern Asia · 2016 reading	0.50	consumption	2016
41	Kosovo`XKX`Southern Europe · 2016 reading	0.47	consumption	2016
=42	Argentina`ARG`South America · 2016 reading	0.44	income	2016
=42	Armenia`ARM`Western Asia · 2016 reading	0.44	consumption	2016
=44	Croatia`HRV`Southern Europe · 2016 reading	0.39	income	2016
=44	Latvia`LVA`Northern Europe · 2016 reading	0.39	income	2016
=46	Australia`AUS`Australia and New Zealand · 2016 reading	0.34	income	2016
=46	Estonia`EST`Northern Europe · 2016 reading	0.34	income	2016
48	Palestine`PSE`Western Asia	0.29	consumption	2016.75
=49	Japan`JPN`Eastern Asia · 2016 reading	0.28	income	2016
=49	Mongolia`MNG`Eastern Asia · 2016 reading	0.28	consumption	2016
51	United Kingdom`GBR`Northern Europe · 2016 reading	0.25	income	2016
52	Portugal`PRT`Southern Europe · 2016 reading	0.24	income	2016
=53	Denmark`DNK`Northern Europe · 2016 reading	0.22	income	2016
=53	Sweden`SWE`Northern Europe · 2016 reading	0.22	income	2016
55	China`CHN`Eastern Asia · 2016 reading	0.21	consumption	2016
56	Norway`NOR`Northern Europe · 2016 reading	0.19	income	2016
57	Canada`CAN`Northern America · 2016 reading	0.18	income	2016
58	Türkiye`TUR`Western Asia · 2016 reading	0.17	consumption	2016
59	Poland`POL`Eastern Europe · 2016 reading	0.15	income	2016
=60	Albania`ALB`Southern Europe · 2016 reading	0.14	consumption	2016
=60	Ireland`IRL`Northern Europe · 2016 reading	0.14	income	2016
=62	Israel`ISR`Western Asia · 2016 reading	0.13	income	2016
=62	Russia`RUS`Eastern Europe · 2016 reading	0.13	income	2016
64	South Korea`KOR`Eastern Asia · 2016 reading	0.10	income	2016
=65	Germany`DEU`Western Europe · 2016 reading	0.08	income	2016
=65	Malta`MLT`Southern Europe · 2016 reading	0.08	income	2016
67	Luxembourg`LUX`Western Europe · 2016 reading	0.07	income	2016
=68	Belgium`BEL`Western Europe · 2016 reading	0.05	income	2016
=68	France`FRA`Western Europe · 2016 reading	0.05	income	2016
=68	Moldova`MDA`Eastern Europe · 2016 reading	0.05	consumption	2016
=71	Ukraine`UKR`Eastern Europe · 2016 reading	0.04	consumption	2016
=71	Uruguay`URY`South America · 2016 reading	0.04	income	2016
=73	Cyprus`CYP`Western Asia · 2016 reading	0.03	income	2016
=73	Finland`FIN`Northern Europe · 2016 reading	0.03	income	2016
=73	Switzerland`CHE`Western Europe · 2016 reading	0.03	income	2016
=73	Taiwan`TWN`Eastern Asia · 2016 reading	0.03	income	2016
=77	Kazakhstan`KAZ`Central Asia · 2016 reading	0.02	consumption	2016
=77	Netherlands`NLD`Western Europe · 2016 reading	0.02	income	2016
=77	Thailand`THA`South-eastern Asia · 2016 reading	0.02	consumption	2016
80	Maldives`MDV`Southern Asia · 2016 reading	0.01	consumption	2016
=81	Belarus`BLR`Eastern Europe · 2016 reading	0.00	consumption	2016
=81	Czechia`CZE`Eastern Europe · 2016 reading	0.00	income	2016
=81	Iceland`ISL`Northern Europe · 2016 reading	0.00	income	2016
=81	Slovenia`SVN`Southern Europe · 2016 reading	0.00	income	2016

02In Poverty Gap at $3.00 a Day, 2016 compilation

At either end

The 5 countries at each end of the headline.

Highest

1South Sudan40.83
2Malawi30.36
3Rwanda25.79
4Uganda23.66
5Eswatini17.72

Lowest

81Sloveniashared0.00
81Icelandshared0.00
81Czechiashared0.00
81Belarusshared0.00
80Maldives0.01

A higher value is the worse result. The middle country reads 0.44. “Shared” marks a value another country also holds.

032015 → 2016

Since the 2015 compilation

What changed between the 2015 compilation and this one: who joined or left, and how far the headline moved.

+19 / −22countries joined / left
57values changed, of 65 in both
22 · 35rose · fell
8unchanged

Rose most

Honduras6.96 → 8.10+1.14
Montenegro0.73 → 1.72+0.99
Slovakia0.39 → 1.14+0.75
Bolivia2.69 → 3.29+0.60
Brazil1.92 → 2.45+0.53

Fell most

Romania2.60 → 1.69−0.91
Indonesia4.59 → 3.70−0.89
Bulgaria1.96 → 1.11−0.85
Kyrgyzstan1.97 → 1.25−0.72
North Macedonia2.86 → 2.25−0.61

+ Argentina

+ Australia

+ Bangladesh

+ Barbados

+ Ghana

+ South Korea

+ Liberia

+ Sri Lanka

+ Maldives

+ Mexico

+ Mongolia

+ Malawi

+ Palestine

+ Rwanda

+ South Sudan

+ Eswatini

+ Taiwan

+ Uganda

+ Vietnam

− 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

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.

How values are stored

Readings from many years
Each country’s newest reading as of 2016, from 2016 to 2016.
63 distinct values among 84
Values are stored exactly as published, to 2 decimals. 4 countries share 0.03. 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 84 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.

Licence in full

.csv
For a spreadsheet or code
84 rows · 3.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download poverty-gap-2016-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 (2016). Poverty Gap at $3.00 a Day, 2016 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/poverty-gap/2016

0622 held

Other editions

‹ The edition before
Poverty Gap at $3.00 a Day, 2015 compilation
87 countries
The edition after ›
Poverty Gap at $3.00 a Day, 2017 compilation
79 countries
All of them
Poverty Gap at $3.00 a Day: every edition
22 held, with the data dictionary, coverage and licence.
How it has moved, charted by country

07Questions