Latest available · compiled 2019
Prosperity Gap, 2019 compilation
Each country’s newest reading as of 2019; every row carries its own year · stored as published, never rewritten
Prosperity Gap, 2019 compilation covers 79 countries. Mozambique is highest, at 25.2438; Switzerland is lowest, at 0.4767. The middle country reads 2.1588. Against the 2018 compilation, 67 values changed (18 up, 49 down), 12 countries joined, 27 left.
Prosperity Gap · Latest available · compiled 2019
HighestMozambique
25.2438LowestSwitzerland
0.4767Shaded by value in five groups of equal size, darkest at the lowest end.
01Position · derived
The table
Every country and every column of Prosperity Gap, 2019 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 | MOZEastern Africa | 25.2438 | consumption | 2019.92 |
| 2 | MWIEastern Africa | 16.7273 | consumption | 2019.31 |
| 3 | UGAEastern Africa | 13.1355 | consumption | 2019.64 |
| 4 | ZWEEastern Africa · 2019 reading | 11.2013 | consumption | 2019 |
| 5 | VUTMelanesia | 6.6208 | consumption | 2019.21 |
| 6 | HNDCentral America · 2019 reading | 6.3862 | income | 2019 |
| 7 | XKXSouthern Europe · 2019 reading | 6.2359 | income | 2019 |
| 8 | MRTWestern Africa | 5.4979 | consumption | 2019.6 |
| 9 | IDNSouth-eastern Asia · 2019 reading | 5.4088 | consumption | 2019 |
| 10 | KGZCentral Asia · 2019 reading | 5.2873 | consumption | 2019 |
| 11 | COLSouth America · 2019 reading | 5.2268 | income | 2019 |
| 12 | KIRMicronesia | 5.1418 | consumption | 2019.27 |
| 13 | GEOWestern Asia · 2019 reading | 5.0752 | consumption | 2019 |
| 14 | FJIMelanesia | 4.4187 | consumption | 2019.15 |
| 15 | EGYNorthern Africa | 4.2061 | consumption | 2019.43 |
| 16 | ARMWestern Asia · 2019 reading | 4.0580 | consumption | 2019 |
| 17 | LKASouthern Asia · 2019 reading | 3.9703 | consumption | 2019 |
| 18 | IRNSouthern Asia | 3.9034 | consumption | 2019.23 |
| 19 | BRASouth America · 2019 reading | 3.7043 | income | 2019 |
| 20 | PERSouth America · 2019 reading | 3.4927 | income | 2019 |
| 21 | ECUSouth America · 2019 reading | 3.3118 | income | 2019 |
| 22 | MHLMicronesia | 3.2753 | consumption | 2019.5 |
| 23 | SLVCentral America · 2019 reading | 3.2504 | income | 2019 |
| 24 | SRBSouthern Europe · 2019 reading | 3.0607 | income | 2019 |
| 25 | MKDSouthern Europe · 2019 reading | 2.9396 | income | 2019 |
| 26 | CHNEastern Asia · 2019 reading | 2.7104 | consumption | 2019 |
| 27 | PRYSouth America · 2019 reading | 2.7078 | income | 2019 |
| 28 | MNESouthern Europe · 2019 reading | 2.5557 | income | 2019 |
| 29 | ALBSouthern Europe · 2019 reading | 2.5514 | consumption | 2019 |
| 30 | BOLSouth America · 2019 reading | 2.5151 | income | 2019 |
| 31 | KAZCentral Asia · 2019 reading | 2.5099 | consumption | 2019 |
| 32 | DOMCaribbean · 2019 reading | 2.4180 | income | 2019 |
| 33 | PANCentral America · 2019 reading | 2.4048 | income | 2019 |
| 34 | MDAEastern Europe · 2019 reading | 2.3958 | consumption | 2019 |
| 35 | ROUEastern Europe · 2019 reading | 2.3368 | income | 2019 |
| 36 | CRICentral America · 2019 reading | 2.3045 | income | 2019 |
| 37 | ARGSouth America · 2019 reading | 2.1816 | income | 2019 |
| 38 | THASouth-eastern Asia · 2019 reading | 2.1709 | consumption | 2019 |
| 39 | TURWestern Asia · 2019 reading | 2.1703 | income | 2019 |
| 40 | UKREastern Europe · 2019 reading | 2.1588 | consumption | 2019 |
| 41 | MDVSouthern Asia | 2.0545 | consumption | 2019.6 |
| 42 | BGREastern Europe · 2019 reading | 1.8065 | income | 2019 |
| 43 | GRCSouthern Europe · 2019 reading | 1.7022 | income | 2019 |
| 44 | BLREastern Europe · 2019 reading | 1.6826 | consumption | 2019 |
| 45 | ITASouthern Europe · 2019 reading | 1.5350 | income | 2019 |
| 46 | ISRWestern Asia · 2019 reading | 1.3845 | income | 2019 |
| 47 | URYSouth America · 2019 reading | 1.3724 | income | 2019 |
| 48 | ESPSouthern Europe · 2019 reading | 1.3283 | income | 2019 |
| 49 | LVANorthern Europe · 2019 reading | 1.3213 | income | 2019 |
| 50 | HRVSouthern Europe · 2019 reading | 1.3194 | income | 2019 |
| 51 | LTUNorthern Europe · 2019 reading | 1.2973 | income | 2019 |
| 52 | JPNEastern Asia · 2019 reading | 1.2685 | income | 2019 |
| 53 | USANorthern America · 2019 reading | 1.2637 | income | 2019 |
| 54 | SVKEastern Europe · 2019 reading | 1.2224 | income | 2019 |
| 55 | ESTNorthern Europe · 2019 reading | 1.2010 | income | 2019 |
| 56 | RUSEastern Europe · 2019 reading | 1.1888 | income | 2019 |
| 57 | PRTSouthern Europe · 2019 reading | 1.0671 | income | 2019 |
| 58 | POLEastern Europe · 2019 reading | 0.9672 | income | 2019 |
| 59 | AUTWestern Europe · 2019 reading | 0.9041 | income | 2019 |
| 60 | GBRNorthern Europe · 2019 reading | 0.8856 | income | 2019 |
| 61 | SWENorthern Europe · 2019 reading | 0.8337 | income | 2019 |
| 62 | CYPWestern Asia · 2019 reading | 0.8195 | income | 2019 |
| 63 | CZEEastern Europe · 2019 reading | 0.7804 | income | 2019 |
| 64 | MLTSouthern Europe · 2019 reading | 0.7757 | income | 2019 |
| 65 | TWNEastern Asia · 2019 reading | 0.7367 | income | 2019 |
| 66 | DNKNorthern Europe · 2019 reading | 0.7229 | income | 2019 |
| 67 | KOREastern Asia · 2019 reading | 0.7202 | income | 2019 |
| 68 | SVNSouthern Europe · 2019 reading | 0.7028 | income | 2019 |
| 69 | IRLNorthern Europe · 2019 reading | 0.6708 | income | 2019 |
| 70 | DEUWestern Europe · 2019 reading | 0.6459 | income | 2019 |
| 71 | FRAWestern Europe · 2019 reading | 0.6248 | income | 2019 |
| 72 | CANNorthern America · 2019 reading | 0.6016 | income | 2019 |
| 73 | ISLNorthern Europe · 2019 reading | 0.5892 | income | 2019 |
| 74 | BELWestern Europe · 2019 reading | 0.5887 | income | 2019 |
| 75 | FINNorthern Europe · 2019 reading | 0.5834 | income | 2019 |
| 76 | NORNorthern Europe · 2019 reading | 0.5598 | income | 2019 |
| 77 | NLDWestern Europe · 2019 reading | 0.5518 | income | 2019 |
| 78 | LUXWestern Europe · 2019 reading | 0.5430 | income | 2019 |
| 79 | CHEWestern Europe · 2019 reading | 0.4767 | income | 2019 |
02In Prosperity Gap, 2019 compilation
At either end
The 5 countries at each end of the headline.
Highest
- 1
Mozambique25.2438
- 2
Malawi16.7273
- 3
Uganda13.1355
- 4
Zimbabwe11.2013
- 5
Vanuatu6.6208
Lowest
- 79
Switzerland0.4767
- 78
Luxembourg0.5430
- 77
Netherlands0.5518
- 76
Norway0.5598
- 75
Finland0.5834
A higher value is the worse result. The middle country reads 2.1588. “Shared” marks a value another country also holds.
032018 → 2019
Since the 2018 compilation
What changed between the 2018 compilation and this one: who joined or left, and how far the headline moved.
- +12 / −27countries joined / left
- 67values changed, of 67 in both
- 18 · 49rose · fell
- 0unchanged
Rose most
Fell most
Kosovo10.2189 → 6.2359−3.9830
Bolivia3.0601 → 2.5151−0.5450
Serbia3.5568 → 3.0607−0.4961
Montenegro3.0276 → 2.5557−0.4719
Sweden1.2172 → 0.8337−0.3835
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 2019, from 2019 to 2019.
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 · 3.9 KB · UTF-8, opens in Excel
Opens with 11 lines of source notes; the table starts on row 13.
Download prosperity-gap-2019-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 (2019). Prosperity Gap, 2019 compilation [data set]. As held by Nations Inquiry, https://nationsinquiry.com/datasets/prosperity-gap/2019
0622 held
Other editions
‹ The edition before
Prosperity Gap, 2018 compilation94 countries
The edition after ›
Prosperity Gap, 2020 compilation71 countries
All of them
Prosperity Gap: every edition22 held, with the data dictionary, coverage and licence.
How it has moved, charted by country
07Questions
Prosperity Gap, 2019 compilation: questions and answers
Which country has the highest prosperity gap in Prosperity Gap, 2019 compilation?
Mozambique, at 25.2438, of the 79 countries in the file.
How many countries does Prosperity Gap, 2019 compilation cover?
79.
Where can I download Prosperity Gap, 2019 compilation?
On this page, as a CSV file holding every value exactly as published, or from the publisher’s own site, linked below.
Is Prosperity Gap, 2019 compilation the newest?
No. The newest held here is Prosperity Gap, 2023 compilation.