🇰🇲 Comoros Prosperity gap (average shortfall from a prosperity standard of $28/day) — Historical Data
World Bank data • 2004–2014 • 2 data points
Latest Value
9.00
2014
Year-on-Year
+13.9%
vs 2004
10-Year Average
8.45
2005–2014
Range
▲ 9.00 (2014)
▼ 7.90 (2004)
Comoros Prosperity gap (average shortfall from a prosperity standard of $28/day) — 2004 to 2014
Loading chart...
About this Indicator
The average shortfall from a prosperity standard of $28 per day (adjusted for differences in purchasing power parity across countries). It is measured as the average factor by which incomes fall short of $28.
Historical Data Table
| Year | Value |
|---|---|
| 2014 | 9.00 |
| 2004 | 7.90 |
🔗 Embed this chart
Copy and paste this code to embed the chart on your website:
<iframe src="https://nationstat.com/en/country/comoros/prosperity-gap-average-shortfall-from-a-prosperity-standard-of-28day" width="800" height="500" frameborder="0"></iframe>Compare with Other Countries
🇦🇴Angola
11.002018
🇦🇱Albania
2.502020
🇦🇪United Arab Emirates
0.502018
🇦🇷Argentina
2.102024
🇦🇲Armenia
4.002023
🇦🇺Australia
1.102020
🇦🇹Austria
0.802023
🇦🇿Azerbaijan
3.002005
🇧🇮Burundi
16.402020
🇧🇪Belgium
0.502023
🇧🇯Benin
7.702021
🇧🇫Burkina Faso
9.402021
🇧🇩Bangladesh
5.002022
🇧🇬Bulgaria
1.402023
🇧🇦Bosnia and Herzegovina
1.802011
🇧🇾Belarus
1.602020
🇧🇿Belize
2.402018
🇧🇴Bolivia
2.402023
🇧🇷Brazil
3.002023
🇧🇧Barbados
2.802016
🇧🇹Bhutan
2.002022
🇧🇼Botswana
6.402015
🇨🇫Central African Republic
18.202021
🇨🇦Canada
0.502021
🇨🇭Switzerland
0.502022
🇨🇱Chile
1.702022
🇨🇳China
2.402022
🇨🇮Cote d'Ivoire
6.702021
🇨🇲Cameroon
7.302021
🇨🇩Congo, Dem. Rep.
26.102020
🇨🇬Congo, Rep.
10.602011
🇨🇴Colombia
4.602023
🇰🇲Comoros
9.002014
🇨🇻Cabo Verde
5.702015
🇨🇷Costa Rica
2.002024
🇨🇾Cyprus
0.602023
🇨🇿Czechia
0.802023
🇩🇪Germany
0.602020
🇩🇯Djibouti
8.302017
🇩🇰Denmark
0.802023
🇩🇴Dominican Republic
2.102024
🇩🇿Algeria
3.402011
🇪🇨Ecuador
3.502024
🇪🇬Egypt, Arab Rep.
3.902021
🇪🇸Spain
1.302023
🇪🇪Estonia
1.002023
🇪🇹Ethiopia
9.102021
🇫🇮Finland
0.702023
🇫🇯Fiji
4.402019
🇫🇷France
0.602023
🇫🇲Micronesia, Fed. Sts.
8.702013
🇬🇦Gabon
3.302017
🇬🇧United Kingdom
0.902021
🇬🇪Georgia
3.802024
🇬🇭Ghana
11.302016
🇬🇳Guinea
5.702018
🇬🇲Gambia, The
6.902020
🇬🇼Guinea-Bissau
9.102021
🇬🇶Equatorial Guinea
4.702022
🇬🇷Greece
1.302023
🇬🇩Grenada
2.402018
🇬🇹Guatemala
4.802023
🇬🇾Guyana
7.701998
🇭🇳Honduras
6.202024
🇭🇷Croatia
1.102023
🇭🇹Haiti
10.402012
🇭🇺Hungary
1.902017
🇮🇩Indonesia
4.802024
🇮🇳India
5.402022
🇮🇪Ireland
0.702023
🇮🇷Iran, Islamic Rep.
3.302023
🇮🇶Iraq
2.802023
🇮🇸Iceland
0.602019
🇮🇱Israel
1.202021
🇮🇹Italy
1.402023
🇯🇲Jamaica
2.602021
🇯🇴Jordan
2.302010
🇯🇵Japan
1.202020
🇰🇿Kazakhstan
2.402021
🇰🇪Kenya
10.002022
🇰🇬Kyrgyz Republic
4.702023
🇰🇮Kiribati
5.102019
🇰🇷Korea, Rep.
0.602021
🇱🇦Lao PDR
6.002018
🇱🇧Lebanon
4.202022
🇱🇷Liberia
8.502016
🇱🇨St. Lucia
1.502015
🇱🇰Sri Lanka
4.002019
🇱🇸Lesotho
11.002017
🇱🇹Lithuania
1.602023
🇱🇺Luxembourg
0.402023
🇱🇻Latvia
1.302023
🇲🇦Morocco
3.902013
🇲🇩Moldova
2.602023
🇲🇬Madagascar
14.402021
🇲🇻Maldives
2.102019
🇲🇽Mexico
2.902022
🇲🇭Marshall Islands
3.302019
🇲🇰North Macedonia
2.902019
🇲🇱Mali
8.502021
🇲🇹Malta
0.702022
🇲🇲Myanmar
5.702017
🇲🇪Montenegro
2.802021
🇲🇳Mongolia
2.702022
🇲🇿Mozambique
24.402022
🇲🇷Mauritania
5.502019
🇲🇺Mauritius
2.402017
🇲🇼Malawi
16.702019
🇲🇾Malaysia
1.202021
🇳🇦Namibia
7.002015
🇳🇪Niger
11.302021
🇳🇬Nigeria
9.802022
🇳🇮Nicaragua
4.202014
🇳🇱Netherlands
0.502021
🇳🇴Norway
0.602023
🇳🇵Nepal
3.902022
🇳🇷Nauru
5.002012
🇵🇰Pakistan
6.602018
🇵🇦Panama
2.402024
🇵🇪Peru
3.602024
🇵🇭Philippines
4.402023
🇵🇬Papua New Guinea
13.502009
🇵🇱Poland
0.902023
🇵🇹Portugal
1.102023
🇵🇾Paraguay
2.502024
🌐West Bank and Gaza
2.902023
🇶🇦Qatar
0.502017
🇷🇴Romania
1.302023
🇷🇺Russian Federation
1.002023
🇷🇼Rwanda
8.802023
🇸🇩Sudan
5.502014
🇸🇳Senegal
6.402021
🇸🇧Solomon Islands
9.702012
🇸🇱Sierra Leone
9.102018
🇸🇻El Salvador
3.602023
🇷🇸Serbia
2.402022
🇸🇸South Sudan
23.002016
🇸🇹Sao Tome and Principe
5.702017
🇸🇷Suriname
2.502022
🇸🇰Slovak Republic
1.502023
🇸🇮Slovenia
0.602023
🇸🇪Sweden
1.102023
🇸🇿Eswatini
10.802016
🇸🇨Seychelles
1.802018
🇸🇾Syrian Arab Republic
6.602022
🇹🇩Chad
9.502022
🇹🇬Togo
8.602021
🇹🇭Thailand
1.902023
🇹🇯Tajikistan
4.402024
🇹🇲Turkmenistan
8.801998
🇹🇱Timor-Leste
9.402014
🇹🇴Tonga
2.802021
🇹🇹Trinidad and Tobago
3.001992
🇹🇳Tunisia
2.502021
🇹🇷Turkiye
1.802022
🇹🇻Tuvalu
4.802010
🇹🇿Tanzania
10.602018
🇺🇬Uganda
13.102019
🇺🇦Ukraine
2.202020
🇺🇾Uruguay
1.402024
🇺🇸United States
1.402023
🇺🇿Uzbekistan
2.802024
🇻🇪Venezuela, RB
6.502006
🇻🇳Viet Nam
2.602022
🇻🇺Vanuatu
6.602019
🇼🇸Samoa
3.902013
🌐Kosovo
7.502022
🇾🇪Yemen, Rep.
8.402014
🇿🇦South Africa
8.402014
🇿🇲Zambia
22.902022
🇿🇼Zimbabwe
11.202019
📊 Related Indicators
Asylum-seekers by country or territory of origin
468.0
2024
Firms that are fully credit constrained (% of firms)
23.4
2025
Firms adopting energy management measures to reduce emissions (% of firms)
18.8
2025
Average time to clear imports through customs (days)
15.2
2025
Asylum-seekers by country or territory of asylum
13.0
2024