{"id": 1206771, "name": "Percent of students who could not read a single word of a short text", "unit": "%", "description": "Percent of grade 2 students who could not read a single word of a short text", "createdAt": "2026-03-06T11:06:16.000Z", "updatedAt": "2026-03-06T11:06:16.000Z", "coverage": "", "timespan": "2015-2015", "datasetId": 7508, "columnOrder": 0, "shortName": "percent_of_students_who_could_not_read_a_single_word_of_a_short_text", "catalogPath": "grapher/education/2017-11-06/basic_reading_and_maths_skills__world_development_report__2018/basic_reading_and_maths_skills__world_development_report__2018#percent_of_students_who_could_not_read_a_single_word_of_a_short_text", "type": "float", "datasetName": "Basic reading and maths skills - World Development Report (2018)", "datasetVersion": "2017-11-06", "nonRedistributable": false, "display": {"unit": "%"}, "schemaVersion": 1, "presentation": {}, "source": {"id": 31219, "name": "World Development Report, Shortfalls in Learning (2018)", "dataPublishedBy": "World Development Report (2018)", "dataPublisherSource": "", "link": "http://www.worldbank.org/en/publication/wdr2018/brief/world-development-report-2018-data", "retrievedDate": "2017-11-06", "additionalInfo": "The World Development Report (2018) includes the following information regarding sources: \"WDR 2018 team, using reading and mathematics data for Kenya and Uganda from Uwezo, Annual Assessment Reports, 2015 (www.uwezo.net/); reading and mathematics data for rural India from ASER Centre (2017); reading data for all other countries from U.S. Agency for International Development (USAID), Early Grade Reading Barometer, 2017, accessed May 30, 2017 (www.earlygradereadingbarometer.org/); and mathematics data for all other countries from USAID/RTI Early Grade Mathematics Assessment intervention reports, 2012\u00e2\u20ac\u201c15 (shared.rti.org/sub-topic/early-grade-math-assessment-egma).\"\n\nThe original source notes: \"These data typically pertain to selected regions in the countries and are not necessarily nationally representative. Data for India pertain to rural areas.\""}, "dimensions": {"years": {"values": [{"id": 2015}]}, "entities": {"values": [{"id": 150, "name": "Ghana", "code": "GHA"}, {"id": 137, "name": "India", "code": "IND"}, {"id": 134, "name": "Iraq", "code": "IRQ"}, {"id": 130, "name": "Jordan", "code": "JOR"}, {"id": 121, "name": "Liberia", "code": "LBR"}, {"id": 117, "name": "Malawi", "code": "MWI"}, {"id": 110, "name": "Morocco", "code": "MAR"}, {"id": 107, "name": "Nepal", "code": "NPL"}, {"id": 64, "name": "Tanzania", "code": "TZA"}, {"id": 68, "name": "Uganda", "code": "UGA"}, {"id": 61, "name": "Yemen", "code": "YEM"}, {"id": 60, "name": "Zambia", "code": "ZMB"}]}}, "origins": []}