🇨🇬 Congo, Rep. Alunos com baixa proficiência em leitura no final do ensino primário (limiar GAML baixo) — Historical Data

World Bank data • 201420192 data points

Latest Value
66.42
2019
Year-on-Year
-19.8%
vs 2014
10-Year Average
74.64
20102019
Range
82.86 (2014)
66.42 (2019)

Congo, Rep. Alunos com baixa proficiência em leitura no final do ensino primário (limiar GAML baixo)2014 to 2019

Loading chart...

About this Indicator

The share of pupils at the end of primary schooling who are below the minimum proficiency level (MPL) for reading or learning deprived. The MPL in reading at the end of primary is defined by the Global Alliance to Monitor Learning (GAML), measured in standard learning assessments, and reported in the context of the SDG 4.1.1b monitoring. It is “Students independently and fluently read simple, short narrative and expository texts. They locate explicitly-stated information. They interpret and give some explanations about the key ideas in these texts. They provide simple, personal opinions or judgements about the information, events and characters in a text.” (UIS and GAML 2019). In other words, a child “attaining” minimum proficiency has the ability to read and understand a short passage of age-appropriate material, whether a simple story or non-fiction narrative of a few paragraphs. In addition to this nutshell statement, the GAML has also proposed a common terminology to describe classifications in the context of the MPL. This is a critical first step toward linking cross-national and national learning assessments with a common benchmark.

Historical Data Table

YearValue
201966.42
201482.86

🔗 Embed this chart

Copy and paste this code to embed the chart on your website:

<iframe src="https://nationstat.com/pt/country/congo-rep/pupils-below-minimum-reading-proficiency-at-end-of-primary-low-gaml-threshold" width="800" height="500" frameborder="0"></iframe>

Compare with Other Countries

🇦🇫Afeganistão
88.002013
🇦🇱Albânia
7.882021
🇦🇪Emirados Árabes Unidos
24.972021
🇦🇷Argentina
58.932019
🇦🇲Armênia
19.912019
🇦🇺Austrália
5.762021
🇦🇹Áustria
4.082021
🇦🇿Azerbaijão
32.572021
🇧🇮Burundi
95.522019
🇧🇪Bélgica
7.712021
🇧🇯Benin
54.512019
🇧🇫Burkina Faso
67.062019
🇧🇩Bangladesh
50.002022
🇧🇬Bulgária
7.122021
🇧🇭Bahrein
28.822021
🇧🇿Belize
74.782001
🇧🇷Brasil
45.562019
🇧🇼Botsuana
44.302011
🇨🇦Canadá
4.262016
🇨🇱Chile
23.182019
🇨🇳China
18.202016
🇨🇮Costa do Marfim
77.972019
🇨🇲Camarões
69.782019
🇨🇩Congo, Rep. Dem.
90.772019
🇨🇬Congo, Rep.
66.422019
🇨🇴Colômbia
50.242019
🇰🇲Comores
82.352008
🇨🇷Costa Rica
33.292019
🇨🇾Chipre
8.212021
🇨🇿Tchéquia
3.992021
🇩🇪Alemanha
6.412021
🇩🇰Dinamarca
4.052021
🇩🇴República Dominicana
76.262019
🇩🇿Argélia
66.532007
🇪🇨Equador
65.092019
🇪🇬Egito
55.432021
🇪🇸Espanha
4.772021
🇪🇹Etiópia
88.722015
🇫🇮Finlândia
3.522021
🇫🇷França
6.142021
🇬🇦Gabão
23.742019
🇬🇧Reino Unido
2.982021
🇬🇪Geórgia
12.842021
🇬🇳Guiné
77.812019
🇬🇷Grécia
5.492001
🇬🇹Guatemala
75.922019
🇭🇰Hong Kong, China
1.722021
🇭🇳Honduras
74.272019
🇭🇷Croácia
1.922021
🇭🇺Hungria
5.872021
🇮🇩Indonésia
49.372015
🇮🇳Índia
53.702017
🇮🇪Irlanda
2.222021
🇮🇷Irã
41.402021
🇮🇸Islândia
6.832006
🇮🇱Israel
12.042021
🇮🇹Itália
2.822021
🇯🇴Jordânia
53.362021
🇯🇵Japão
1.832019
🇰🇿Cazaquistão
9.302021
🇰🇪Quênia
74.502023
🇰🇬Quirguistão
63.802014
🇰🇭Camboja
88.982019
🇰🇷Coreia do Sul
0.802019
🇰🇼Kuwait
49.382016
🇱🇦Laos
97.502019
🇱🇰Sri Lanka
14.002015
🇱🇸Lesoto
96.602016
🇱🇹Lituânia
2.892021
🇱🇺Luxemburgo
1.232006
🇱🇻Letônia
5.712021
🇲🇴Macau, China
4.082021
🇲🇦Marrocos
59.422021
🇲🇩Moldávia
8.742006
🇲🇬Madagáscar
93.742019
🇲🇽México
47.202019
🇲🇰North Macedonia
30.042021
🇲🇱Mali
85.742012
🇲🇹Malta
9.762021
🇲🇲Mianmar
89.262019
🇲🇪Montenegro
13.092021
🇲🇳Mongólia
38.072007
🇲🇷Mauritânia
92.952004
🇲🇺Maurício
38.002006
🇲🇾Malásia
41.742019
🇳🇪Níger
85.622019
🇳🇮Nicarágua
78.102019
🇳🇱Países Baixos
3.552021
🇳🇴Noruega
4.182021
🇳🇿Nova Zelândia
10.122021
🇴🇲Omã
37.802021
🇵🇰Paquistão
70.002019
🇵🇦Panamá
75.242019
🇵🇪Peru
43.602019
🇵🇭Filipinas
90.442019
🇵🇱Polônia
2.792021
🇵🇹Portugal
5.822021
🇵🇾Paraguai
74.662019
🇶🇦Qatar
19.612021
🇷🇴Romênia
14.072011
🇷🇺Russian Federation
1.642021
🇸🇦Arábia Saudita
28.932021
🇸🇳Senegal
58.892019
🇸🇬Singapura
3.342021
🇸🇻El Salvador
62.102019
🇷🇸Sérvia
7.202021
🇸🇰Eslováquia
6.352021
🇸🇮Eslovênia
5.622021
🇸🇪Suécia
4.722021
🇹🇩Chade
92.392019
🇹🇬Togo
80.632019
🇹🇭Tailândia
21.922011
🇹🇹Trinidad e Tobago
19.662016
🇹🇳Tunísia
65.122011
🇹🇷Turquia
14.112021
🇺🇬Uganda
81.102014
🇺🇦Ucrânia
18.302007
🇺🇾Uruguai
43.412019
🇺🇸Estados Unidos
5.492021
🇺🇿Uzbequistão
30.162021
🇻🇳Vietnã
18.122019
🌐Kosovo
37.922021
🇾🇪Iêmen
93.502011
🇿🇦África do Sul
80.552021
🇿🇲Zâmbia
98.242019
See all countries for this indicator →