🇵🇪 Perú Cobertura de los programas de seguros sociales
Perú Cobertura de los programas de seguros sociales was 8.05 in 2022, down 21.4% from 2021, according to World Bank data. The 10-year average is 10.21. Historical data available from 2008 to 2022 (15 data points). The all-time high was 12.23 in 2012.
Source: World Bank World Development Indicators • 2008–2022 • 15 data points • Social Protection & Labor
Latest Value
8.05
2022
Year-on-Year
-21.4%
vs 2021
10-Year Average
10.21
2013–2022
Range
High: 12.23 (2012)
Low: 8.05 (2022)
Perú Cobertura de los programas de seguros sociales (% de la población) — 2008 to 2022
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About this Indicator
Coverage of social insurance programs shows the percentage of population participating in programs that provide old age contributory pensions (including survivors and disability) and social security and health insurance benefits (including occupational injury benefits, paid sick leave, maternity and other social insurance). Estimates include both direct and indirect beneficiaries.
Historical Data Table
| Year | Value |
|---|---|
| 2022 | 8.05 |
| 2021 | 10.24 |
| 2020 | 9.32 |
| 2019 | 10.04 |
| 2018 | 10.12 |
| 2017 | 10.42 |
| 2016 | 10.50 |
| 2015 | 10.38 |
| 2014 | 11.52 |
| 2013 | 11.49 |
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<iframe src="https://nationstat.com/es/country/peru/coverage-of-social-insurance-programs-of-population" width="800" height="500" frameborder="0"></iframe>Compare with Other Countries
🇦🇫Afganistán
0.542007
🇦🇴Angola
3.402018
🇦🇱Albania
44.462018
🇦🇷Argentina
31.602022
🇦🇲Armenia
60.232022
🇦🇿Azerbaiyán
50.612015
🇧🇮Burundi
1.422019
🇧🇯Benín
2.112021
🇧🇫Burkina Faso
1.812021
🇧🇩Bangladesh
1.192022
🇧🇬Bulgaria
47.722007
🇧🇦Bosnia y Herzegovina
40.162015
🇧🇾Bielorrusia
47.672019
🇧🇿Belice
28.212009
🇧🇴Bolivia
6.812021
🇧🇷Brasil
28.282022
🇧🇹Bután
1.832022
🇧🇼Botsuana
3.772015
🇨🇱Chile
45.472022
🇨🇳China
35.582013
🇨🇮Costa de Marfil
3.812021
🇨🇲Camerún
3.702021
🇨🇩Congo, Rep. Dem.
1.602012
🇨🇬Congo, Rep.
8.912005
🇨🇴Colombia
10.572022
🇰🇲Comoras
2.942020
🇨🇻Cabo Verde
6.002007
🇨🇷Costa Rica
21.672022
🇩🇯Djibouti
8.502012
🇩🇲Dominica
13.372002
🇩🇴República Dominicana
5.832021
🇪🇨Ecuador
14.862022
🇪🇬Egipto
21.302008
🇪🇹Etiopía
1.212018
🇫🇯Fiji
8.922013
🇫🇲Micronesia, Est. Fed.
17.362000
🇬🇦Gabón
13.422005
🇬🇭Ghana
1.322016
🇬🇳Guinea
2.612018
🇬🇲Gambia
1.472015
🇬🇼Guinea-Bisáu
2.792021
🇬🇹Guatemala
3.992014
🇭🇳Honduras
3.342019
🇭🇷Croacia
52.562014
🇭🇺Hungría
57.122007
🇮🇩Indonesia
9.332022
🇮🇳India
17.672011
🇮🇶Irak
26.362012
🇯🇲Jamaica
7.002017
🇯🇴Jordania
28.232010
🇰🇿Kazajstán
38.532021
🇰🇪Kenia
1.192015
🇰🇬Kirguistán
49.372020
🇰🇭Camboya
1.872013
🇰🇮Kiribati
43.102019
🇱🇦Laos
2.162018
🇱🇧Líbano
53.662004
🇱🇰Sri Lanka
8.482019
🇱🇸Lesoto
1.712017
🇱🇹Lituania
45.042008
🇱🇻Letonia
45.722009
🇲🇩Moldavia
47.912018
🇲🇻Maldivas
4.872019
🇲🇽México
16.212022
🇲🇭Islas Marshall
55.622019
🇲🇱Malí
4.542021
🇲🇲Myanmar
5.352017
🇲🇪Montenegro
47.932014
🇲🇳Mongolia
37.012020
🇲🇿Mozambique
2.482019
🇲🇷Mauritania
9.232008
🇲🇺Mauricio
19.082017
🇲🇼Malaui
1.172019
🇲🇾Malasia
8.722016
🇳🇦Namibia
3.852015
🇳🇪Níger
1.402021
🇳🇬Nigeria
3.312018
🇳🇮Nicaragua
13.712014
🇳🇵Nepal
5.262010
🇵🇰Pakistán
6.452018
🇵🇦Panamá
23.402023
🇵🇪Perú
8.052022
🇵🇭Filipinas
13.662018
🇵🇼Palaos
36.422006
🇵🇬Papúa Nueva Guinea
1.012009
🇵🇱Polonia
44.972019
🇵🇾Paraguay
5.682022
🌐Cisjordania y Gaza
3.632016
🇷🇴Rumania
39.232021
🇷🇺Federación de Rusia
56.382017
🇷🇼Ruanda
10.782013
🇸🇳Senegal
8.872021
🇸🇱Sierra Leona
0.932018
🇸🇻El Salvador
6.702022
🇷🇸Serbia
57.202022
🇸🇹Santo Tomé y Príncipe
8.702017
🇸🇰Eslovaquia
49.722009
🇸🇿Eswatini
5.712016
🇸🇾Siria
8.192003
🇹🇩Chad
1.552022
🇹🇬Togo
3.662021
🇹🇭Tailandia
4.552021
🇹🇯Tayikistán
34.152011
🇹🇷Turquía
37.172019
🇹🇿Tanzania
1.342012
🇺🇬Uganda
0.652016
🇺🇦Ucrania
54.572020
🇺🇾Uruguay
34.902022
🇺🇿Uzbekistán
20.222018
🇻🇪Venezuela
10.242006
🇻🇳Vietnam
12.692020
🇻🇺Vanuatu
29.922019
🇼🇸Samoa
33.642008
🌐Kosovo
37.042017
🇾🇪Yemen
8.232014
🇿🇦Sudáfrica
3.392021
🇿🇲Zambia
0.922015
🇿🇼Zimbabue
4.812019
Related Indicators
Adecuación de los programas de seguros sociales (% del bienestar total de los hogares beneficiarios)
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Promedio de horas de trabajo de niños, solo trabajo, 7-14 años (horas por semana)
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11.2
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11.0
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