IndicatorName: National assessment at the end of primary (CEPE) in Guinea, CM2 (6 grade), optimal competency

Longdefinition: Optimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Niger, CE2, Mathematics, optimal competency (%)

Longdefinition: Students with optimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.

Topic: Learning Outcomes


IndicatorName: National assessment for learning outcomes in Georgia, grade 9, Language, students in highest level (%)

Longdefinition: Students with highest competency in the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: Making the Grade Scores in Ghana, P5, Literacy in English, Words per minute (mean)

Longdefinition: Mean words per minute read in the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.

Unitofmeasure: units


IndicatorName: National assessment at the end of lower secondary (BEPC) in Guinea, 10 grade, optimal competency


IndicatorName: National assessment for learning outcomes in Niger, CM2, Mathematics, optimal competency (%)


IndicatorName: National assessment for learning outcomes in Georgia, grade 9, Mathematics, students in highest level (%)


IndicatorName: Making the Grade Scores in Ghana, P3, Literacy in English, Zero score

Longdefinition: Zero score in results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment at the end of secondary (BAC) in Guinea, optimal competency


IndicatorName: National assessment for learning outcomes in Niger, CP, Mathematics, minimal competency (%)

Longdefinition: Students with minimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Albania, grade 9, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific subject and grade. Country-specific definition and method are determined by country. Scale goes up to 50.

Unitofmeasure: unit and decimal numbers


IndicatorName: PASEC in Burkina Faso, CM1, French (mean score)

Longdefinition: Mean score calculated for the results of the Programme on the Analysis of Education Systems (PASEC) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PASEC is an international study created in 1991 by the Conference of Ministers of Education of Francophone countries (CONFEMEN) to assess educational attainments in primary school. For further information please refer to this web site: www.confemen.org.


IndicatorName: Baccalaureate in Central African Republic, exam at the end of secondary education, success rate (%)

Longdefinition: Success rate in the exam at the end of secondary education (Baccalaureate), as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Côte d'Ivoire, lower secondary (BEPC), mean score of all subjects

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific education level for French, Mathematics, Physics, English, SVT, L2, H-G and ECM, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: PASEC in Cameroon, grades 2 and 5, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 10, Mathematics, optimal competency (%)

Longdefinition: Optimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Optimal competency are scores above 50%.


IndicatorName: TIMSS in Georgia, grade 4, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Trends in International Mathematics and Science Study (TIMSS) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. It was first conduced in 1995 and then every four years by the TIMS & PIRLS International Study Center of Boston College's Lynch School of Education. For further details please refer to this web site: timss.bc.edu.


IndicatorName: National assessment for learning outcomes in Ghana, P6, English, students above mean (%)

Longdefinition: Students with results above the mean competency in the National Education Assessment (NEA) carried out in the specific subject and grade, using multiple choice items with 4 options, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: PASEC in Guinea, CP2, Mathematics (mean score)


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - access and retrieve (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/. Pupils who were 15 year old participated in this test, some of them were at grade 8 and some at grade 10.


IndicatorName: National assessment for learning outcomes in Cambodia, grade 3, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Laos, grade 5, Language (minimal competency)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Moldova, grade 9, mean competency (%)

Longdefinition: Students with mean competency in the results of the national assessment carried out in the specific grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: PASEC in Madagascar, CM2, Mathematics (mean score)


IndicatorName: SACMEQ in Mozambique, grade 5, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. SACMEQ has completed two major education policy research projects (SACMEQ I and SACMEQ II) between 1995 and 2005. The third project (SACMEQ III) commenced in 2007 and was completed in 2011. For further details please refer to the following web site: www.sacmeq.org.


IndicatorName: PASEC in Mauritania, grade 5, Mathematics (mean score)


IndicatorName: SACMEQ in Malawi, standards 3,5,7, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. SACMEQ has completed two major education policy research projects (SACMEQ I and SACMEQ II) between 1995 and 2005. The third project (SACMEQ III) commenced in 2007 and was completed in 2011. For further details please refer to the following web site: www.sacmeq.org. In Malawi SACMEQ I tested learners on English; SACMEQ II on English and Mathematics; and SACMEQ III on English, Mathematics, and HIV/AIDs.


IndicatorName: National assessment for learning outcomes in Niger, CE2, French (mean score)


IndicatorName: National assessment for learning outcomes (SNERS) in Senegal, CE2, French, minimal competency (%)

Longdefinition: Minimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Mathematics - Level 1, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Converts fractions with denominator of 10 to decimals. Calculates with whole numbers using one operation (x, -, + or ;) in a one step word problem; recognizes 2D and 3D shapes.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Reading - Level 2, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Locates text expressed in short repetitive sentences and can deal with text unaided by pictures. Type of text is limited to short sentences and phrases with repetitive patterns.


IndicatorName: National assessment for learning outcomes in Zambia, grade 5, Mathematics (mean score)


IndicatorName: Making the Grade Scores in Ghana, P5, Literacy in English, Zero score

Longdefinition: Zero score in results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment at the end of primary (CEPE) in Guinea, CM2 (6 grade), maximal competency

Longdefinition: Maximum competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Niger, CE2, Mathematics, minimal competency (%)

Longdefinition: Students with minimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: Making the Grade Scores in Ghana, P3, Numeracy, Correct Additions (%)

Longdefinition: Students capable of perform correct additions in the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment at the end of lower secondary (BEPC) in Guinea, 10 grade, maximal competency


IndicatorName: National assessment for learning outcomes in Niger, CM2, Mathematics, minimal competency (%)


IndicatorName: Making the Grade Scores in Ghana, P5, Numeracy, Correct Additions (%)


IndicatorName: National assessment at the end of secondary (BAC) in Guinea, maximal competency


IndicatorName: National assessment for learning outcomes in Niger, CP, Mathematics, under minimal competency (%)

Longdefinition: Students under minimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: Making the Grade Scores in Ghana, P3, Numeracy, Correct Multiplications (%)

Longdefinition: Students capable of performing correct multiplications in the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment at the end of primary (CEPE) in Guinea, CM2 (6 grade), success rate (%)

Longdefinition: Success rate calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Niger, CE2, Mathematics, under minimal competency (%)


IndicatorName: Making the Grade Scores in Ghana, P5, Numeracy, Correct Multiplications (%)

Longdefinition: Students capable of perform correct multiplications in the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment at the end of lower secondary (BEPC) in Guinea, 10 grade, success rate (%)


IndicatorName: National assessment for learning outcomes in Niger, CM2, Mathematics, under minimal competency (%)


IndicatorName: Making the Grade Scores in Ghana, P3, Numeracy, Zero score


IndicatorName: National assessment at the end of secondary (BAC) in Guinea, success rate (%)


IndicatorName: National assessment for learning outcomes in Niger, end of 1st degree certificate, success rate (%)

Longdefinition: Success rate in the end of 1st degree certificate, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: Making the Grade Scores in Ghana, P5, Numeracy, Zero score


IndicatorName: PISA in Albania, grade 9 and 10, Reading (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/


IndicatorName: PASEC in Burkina Faso, CP2, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Programme on the Analysis of Education Systems (PASEC) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PASEC is an international study created in 1991 by the Conference of Ministers of Education of Francophone countries (CONFEMEN) to assess educational attainments in primary school. For further information please refer to this web site: www.confemen.org.


IndicatorName: National assessment for learning outcomes in Côte d'Ivoire, primary (CEPE), minimal competency (%)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific education level for French, Mathematics, Sciences and H-G, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 10, Biology, optimal competency (%)

Longdefinition: Optimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Optimal competency are scores above 50%.


IndicatorName: TIMSS in Georgia, grade 4, Science (mean score)

Longdefinition: Mean score calculated for the results of the Trends in International Mathematics and Science Study (TIMSS) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. It was first conduced in 1995 and then every four years by the TIMS & PIRLS International Study Center of Boston College's Lynch School of Education. For further details please refer to this web site: timss.bc.edu.


IndicatorName: National assessment for learning outcomes in Ghana, P3, Mathematics, students above mean (%)

Longdefinition: Students with results above the mean competency in the National Education Assessment (NEA) carried out in the specific subject and grade, using multiple choice items with 4 options, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: PASEC in Guinea, CP2, French and Mathematics (mean score)


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - integrate and interpret (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/. Pupils who were 15 year old participated in this test, some of them were at grade 8 and some at grade 10.


IndicatorName: National assessment for learning outcomes in Cambodia, grade 6, Language (mean score)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Laos, grade 5, Language (proficiency)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Moldova, grade 4, minimal competency (%)

Longdefinition: Students with minimal competency in the results of the national assessment carried out in the specific grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Niger, CM2, French (mean score)


IndicatorName: National assessment for learning outcomes (SNERS) in Senegal, CE2, Mathematics, optimal competency (%)

Longdefinition: Optimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Mathematics - Level 1, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Identifies place value; determines the value of a simple number sentence; understands equivalent fractions; adds and subtracts simple fractions; carries out multiple operations in correct order; converts and estimates common and familiar measurement units in solving problems.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Reading - Level 3, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Reads and understands longer passages. Can search backwards or forwards through text for information. Understands paraphrasing. Expanding vocabulary enables understanding of sentences with some complex structure.


IndicatorName: SACMEQ in Zambia, grade 5, Reading (mean score)

Longdefinition: Mean score calculated for the results of the Southern and Eastern Africa Consortium for Monitoring Educational Quality (SACMEQ) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. SACMEQ has completed two major education policy research projects (SACMEQ I and SACMEQ II) between 1995 and 2005. The third project (SACMEQ III) commenced in 2007 and was completed in 2011. For further details please refer to the following web site: www.sacmeq.org.


IndicatorName: PISA in Albania, grade 9 and 10, Mathematics (mean score)


IndicatorName: PASEC in Burkina Faso, CM1, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Côte d'Ivoire, lower secondary (BEPC), minimal competency (%)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific education level for French, Mathematics, Physics, English, SVT, L2, H-G and ECM, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Subjects include: French, Mathematics, Physics, English, SVT, L2, H-G and ECM.


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 10, Chemistry, optimal competency (%)


IndicatorName: TIMSS in Georgia, grade 8, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Ghana, P6, Mathematics, students above mean (%)


IndicatorName: PASEC in Guinea, CM1, French (mean score)


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - reflect and evaluate (mean score)


IndicatorName: National assessment for learning outcomes in Cambodia, grade 6, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Laos, grade 5, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Moldova, grade 9, minimal competency (%)


IndicatorName: National assessment for learning outcomes in Niger, CP, French, optimal competency (%)

Longdefinition: Students with optimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes (SNERS) in Senegal, CE2, French, optimal competency (%)


Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Reads, writes and compares larger numbers; solves problems involving calendars and currency, area and volume; uses charts and tables for estimation; solves inequalities; transformations with 3D figures; knowledge of angles in regular figures; understands simple transformations with 2D and 3D shapes.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Reading - Level 4, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Links information from different parts of the text. Selects and connects text to derive and infer different possible meanings.


IndicatorName: SACMEQ in Zambia, grade 5, Mathematics (mean score)


IndicatorName: PISA in Albania, grade 9 and 10, Science (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/


IndicatorName: National assessment for learning outcomes in Côte d'Ivoire, primary (CEPE), optimal competency (%)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific education level for French, Mathematics, Sciences and H-G, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 10, Physics, optimal competency (%)

Longdefinition: Optimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Optimal competency are scores above 50%.


IndicatorName: TIMSS in Georgia, grade 8, Science (mean score)

Longdefinition: Mean score calculated for the results of the Trends in International Mathematics and Science Study (TIMSS) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. It was first conduced in 1995 and then every four years by the TIMS & PIRLS International Study Center of Boston College's Lynch School of Education. For further details please refer to this web site: timss.bc.edu.


IndicatorName: National assessment for learning outcomes in Ghana, P3, English, students above minimal competency (%)

Longdefinition: Students with results above the minimal competency in the National Education Assessment (NEA) carried out in the specific subject and grade, using multiple choice items with 4 options, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. % of pupils achieving 35% of results or more in the test.


IndicatorName: PASEC in Guinea, CM1, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Programme on the Analysis of Education Systems (PASEC) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PASEC is an international study created in 1991 by the Conference of Ministers of Education of Francophone countries (CONFEMEN) to assess educational attainments in primary school. For further information please refer to this web site: www.confemen.org.


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - continuous texts (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/. Pupils who were 15 year old participated in this test, some of them were at grade 8 and some at grade 10.


IndicatorName: National assessment for learning outcomes in Cambodia, grade 9, Language (mean score)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Laos, grade 5, Mathematics (minimal competency)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Moldova, grade 4, proficient competency (%)

Longdefinition: Students with proficient competency in the results of the national assessment carried out in the specific grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Niger, CE2, French, optimal competency (%)


IndicatorName: PASEC in Senegal, CM1, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Mathematics - Level 1, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Calculates with multiple and varied operations; recognizes rules and patterns in number sequences; calculates the perimeter and area of irregular shapes; measurement of irregular objects; recognized transformed figures after reflection; solves problems with multiple operations involving measurement units, percentage and averages.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Reading - Level 5, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Links inferences and identifies an author's intention from information stated in different ways, in different text types and in documents where the message is not explicit.


IndicatorName: National assessment for learning outcomes in Côte d'Ivoire, lower secondary (BEPC), optimal competency (%)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific education level for French, Mathematics, Physics, English, SVT, L2, H-G and ECM, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 10, average of all subjects, optimal competency (%)


IndicatorName: PISA in Georgia, grade 9, Reading (mean score)


IndicatorName: National assessment for learning outcomes in Ghana, P6, English, students above minimum competency (%)

Longdefinition: Students with results above the mean competency in the National Education Assessment (NEA) carried out in the specific subject and grade, using multiple choice items with 4 options, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. % of pupils achieving 35% of results or more in the test.


IndicatorName: PASEC in Guinea, CM1, French and Mathematics (mean score)


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - non-continuous texts (mean score)


IndicatorName: National assessment for learning outcomes in Cambodia, grade 9, Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Laos, grade 5, Mathematics (proficiency)


IndicatorName: National assessment for learning outcomes in Moldova, grade 9, proficient competency (%)


IndicatorName: National assessment for learning outcomes in Niger, CM2, French, optimal competency (%)

Longdefinition: Students with optimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: PASEC in Senegal, CM1, French (mean score)


Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Problem solving with periods of time, length, area and volume; embedded and dependent number patterns; develops formulas; recognizes 3D figures after rotation and reflection and embedded figures and right angles in irregular shapes; use data from graphs.


IndicatorName: National assessment for learning outcomes in Vietnam, grade 5, Reading - Level 6, scores in indicated level (%)

Longdefinition: Students in respective level in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Relative level means that student: Combines text with outside knowledge to infer various meanings, including hidden meanings. Identifies an author's purposes, attitudes, values, beliefs, motives, unstated assumptions and arguments.


IndicatorName: PASEC in Côte d'Ivoire, CP2 and CM1, French and Mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 12, English, optimal competency (%)


IndicatorName: PISA in Georgia, grade 9, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/


IndicatorName: National assessment for learning outcomes in Ghana, P3, Mathematics, students above minimal competency (%)


IndicatorName: PASEC in Guinea, CP2, French and Mathematics, mean score at the end of year (%)

Longdefinition: Mean score calculated at the end of the year for the results of the Programme on the Analysis of Education Systems (PASEC) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PASEC is an international study created in 1991 by the Conference of Ministers of Education of Francophone countries (CONFEMEN) to assess educational attainments in primary school. For further information please refer to this web site: www.confemen.org.


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - mathematics (mean score)


IndicatorName: National assessment for learning outcomes in Laos, grade 5, world around us (mean score)


IndicatorName: PIRLS in Moldova, grade 4, Reading (mean score)

Longdefinition: Mean score calculated for the results of the Progress in International Reading Literacy Study (PIRLS) on the reading achievement of fourth grade students, as reported by the Local Education Group (LEG). It was first conduced in 2001 and then every five years by the TIMS & PIRLS International Study Center of Boston College's Lynch School of Education. For further details please refer to this web site: pirls.bc.edu.


IndicatorName: National assessment for learning outcomes in Niger, CP, French, minimal competency (%)

Longdefinition: Students with minimal competency in the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: PASEC in Senegal, Mathematics, (mean score)


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 12, Mathematics, optimal competency (%)

Longdefinition: Optimal competency calculated for the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. Optimal competency are scores above 50%.


IndicatorName: PISA in Georgia, grade 9, Science (mean score)


IndicatorName: National assessment for learning outcomes in Ghana, P6, Mathematics, students above minimal competency (%)

Longdefinition: Students with results above the minimal competency in the National Education Assessment (NEA) carried out in the specific subject and grade, using multiple choice items with 4 options, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. % of pupils achieving 35% of results or more in the test.


IndicatorName: PASEC in Guinea, CM1, French and Mathematics, mean score at the end of year (%)


IndicatorName: PISA in Kyrgyzstan, grades 8-9, Reading - science (mean score)

Longdefinition: Mean score calculated for the results of the Programme for International Student Assessment (PISA) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PISA is an international study that was launched by the OECD in 1997. It aims to evaluate education systems worldwide every three years by assessing 15-year-olds' competencies in the key subjects: reading, mathematics and science. For further details please refer to this web site: http://www.oecd.org/pisa/. Pupils who were 15 year old participated in this test, some of them were at grade 8 and some at grade 10.


IndicatorName: National assessment for learning outcomes in Laos, grade 5, world around us (minimal competency)


IndicatorName: TIMSS in Moldova, Mathematics (mean score)

Longdefinition: Mean score calculated for the results of the Trends in International Mathematics and Science Study (TIMSS) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. It was first conduced in 1995 and then every four years by the TIMS & PIRLS International Study Center of Boston College's Lynch School of Education. For further details please refer to this web site: timss.bc.edu.


IndicatorName: National assessment for learning outcomes in Niger, CE2, French, minimal competency (%)


IndicatorName: PASEC in Senegal, French (mean score)

Longdefinition: Mean score calculated for the results of the Programme on the Analysis of Education Systems (PASEC) in the specific subject and grade, as reported by the Local Education Group (LEG) of the evaluated country. PASEC is an international study created in 1991 by the Conference of Ministers of Education of Francophone countries (CONFEMEN) to assess educational attainments in primary school. For further information please refer to this web site: www.confemen.org.


IndicatorName: National assessment for learning outcomes in Ethiopia, grade 12, Biology, optimal competency (%)


IndicatorName: National assessment for learning outcomes in Georgia, grade 1, English, students in lowest level (%)

Longdefinition: Students with lowest competency in the results of the national assessment carried out in the specific subject and grade, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: National assessment for learning outcomes in Ghana, P3, English, students above proficient levels (%)

Longdefinition: Students with results above the proficient competency in the National Education Assessment (NEA) carried out in the specific subject and grade, using multiple choice items with 4 options, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country. % of pupils achieving 55% of results or more in the test.


IndicatorName: PASEC in Guinea, CP2, French and Mathematics, mean score at the end of year (%)


IndicatorName: National assessment for learning outcomes in Laos, grade 5, world around us (proficiency)

Longdefinition: Mean score calculated for the results of the national assessment carried out in the specific grade and subject, as reported by the Local Education Group (LEG). Country-specific definition and method are determined by the country.


IndicatorName: TIMSS in Moldova, Science (mean score)


IndicatorName: National assessment for learning outcomes in Niger, CM2, French, minimal competency (%)


IndicatorName: Realization of national assessments (yes=1, no=0, see notes if available)

Longdefinition: It indicates if national assessments for learning outcomes are administered for primary and lower secondary level and in which grade. Please refer to the subtopic Learning Outcomes and the specific country for details on the scores obtained in these assessments, as reported by the Local Education Group (LEG).

Unitofmeasure: 1=yes and text in note; 0=no


IndicatorName: Administration of oral reading fluency tests (yes=1, no=0, see notes if available)

Longdefinition: It indicates if oral reading fluency tests are administered for primary and lower secondary level and in which grade. Please refer to the subtopic Learning Outcomes and the specific country for details on the scores obtained in these assessments, as reported by the Local Education Group (LEG).


IndicatorName: Alignment of aid to education (% of total international aid to education)

Limitationsandexceptions: This indicator shows the relationship between the country partner budget and the donor partners’ aid contribution. It measures how much of the education aid was disbursed to the government sector  in accordance with the estimates in the government budget. The definition of ‘aid on budget’ is contentious, as it can be understood in significantly different ways. The accuracy of this indicator depends on the availability of the government budget estimates of aid flows for each development partner, the availability of the data from development partners about the disbursements to the government sector and a match between recipient government fiscal year and the development partner's fiscal year. This data aims at stimulating, reviving and strengthening dialogue on aid effectiveness among the Local Education Group (LEG) partners. It does not attempt to provide a full and exhaustive picture of the aid effectiveness situation in the education sector in a country. It does not intend to issue a summative judgment on aid effectiveness in a country, or to rank the effectiveness of a country’s education aid in comparison with other countries’ for any high-stakes purpose other than mutual learning from challenges and good practices. It is based on data submitted by the LEG, which was also subsequently reviewed and validated by the LEG.

Longdefinition: Estimated international education aid reported on the government’s budget and expressed as a percentage of the disbursed education aid for the government sector. Government sector aid includes aid disbursed in the context of an agreement with administrations (ministries, departments, agencies or municipalities) authorized to receive revenue or undertake expenditures on behalf of central government. This is part of the 2011 Monitoring Exercise on Development Effectiveness in the Education Sector, an unprecedented picture of aid effectiveness in the education sector that can be used as the basis for in-country dialogue and debate going forward. This information looks at how education aid is delivered and managed by development partners and governments.

Topic: Aid Effectiveness in the Education Sector


IndicatorName: Coordinated technical cooperation (% of total cooperation to education)

Limitationsandexceptions: This data aims at stimulating, reviving and strengthening dialogue on aid effectiveness among the Local Education Group (LEG) partners. It does not attempt to provide a full and exhaustive picture of the aid effectiveness situation in the education sector in a country. It does not intend to issue a summative judgment on aid effectiveness in a country, or to rank the effectiveness of a country’s education aid in comparison with other countries’ for any high-stakes purpose other than mutual learning from challenges and good practices. It is based on data submitted by the LEG, which was also subsequently reviewed and validated by the LEG.

Longdefinition: Technical cooperation from development partners provided through coordinated programs and expressed as a percentage of the total disbursed technical cooperation. Coordinated technical cooperation is consistent with the capacity development priorities of the developing recipient government. This is part of the 2011 Monitoring Exercise on Development Effectiveness in the Education Sector, an unprecedented picture of aid effectiveness in the education sector that can be used as the basis for in-country dialogue and debate going forward. This information looks at how education aid is delivered and managed by development partners and governments.


IndicatorName: Use of public financial management country systems (% of total international aid to education)

Limitationsandexceptions: Using country systems to the greatest extent possible is seen as an effective way to build or increase capacity at the institutional, organizational and personnel levels. This data aims at stimulating, reviving and strengthening dialogue on aid effectiveness among the Local Education Group (LEG) partners. It does not attempt to provide a full and exhaustive picture of the aid effectiveness situation in the education sector in a country. It does not intend to issue a summative judgment on aid effectiveness in a country, or to rank the effectiveness of a country’s education aid in comparison with other countries’ for any high-stakes purpose other than mutual learning from challenges and good practices. It is based on data submitted by the LEG, which was also subsequently reviewed and validated by the LEG.

Longdefinition: International education aid using national public financial management (PFM) systems and expressed as a percentage of the disbursed education aid for the government sector. PFM systems include budge execution procedures, financial reporting procedures and auditing procedures. Donors use national budget execution procedures when the funds they provide are managed according to the national budgeting procedures established in the general legislation and implemented by government. The use of national financial reporting means that donors do not impose additional requirements on governments for financial reporting. The use of national auditing procedures means that donors rely on the audit opinions issued by the country's supreme audit institution and on the government's normal financial reports/statements. Government sector aid includes aid disbursed in the context of an agreement with administrations (ministries, departments, agencies or municipalities) authorized to receive revenue or undertake expenditures on behalf of central government. This is part of the 2011 Monitoring Exercise on Development Effectiveness in the Education Sector, an unprecedented picture of aid effectiveness in the education sector that can be used as the basis for in-country dialogue and debate going forward. This information looks at how education aid is delivered and managed by development partners and governments.


IndicatorName: Use of procurement country systems (% of total international aid to education)

Longdefinition: International education aid using national procurement systems and procedures expressed as a percentage of the disbursed education aid for the government sector. Donors use national procurement systems when the funds they provide for the implementation of projects and programs are managed according to the national procurement procedures as they were established in the general legislation and implemented by government. Government sector aid includes aid disbursed in the context of an agreement with administrations (ministries, departments, agencies or municipalities) authorized to receive revenue or undertake expenditures on behalf of central government. This is part of the 2011 Monitoring Exercise on Development Effectiveness in the Education Sector, an unprecedented picture of aid effectiveness in the education sector that can be used as the basis for in-country dialogue and debate going forward. This information looks at how education aid is delivered and managed by development partners and governments.


IndicatorName: Number of parallel implementation units, education sector

Limitationsandexceptions: There might be a confusion regarding the definition of a PIU. As a result, there are instances where donors are reported to have structures that are the equivalent of a PIU, even if they are not officially considered to be a PIU. This data aims at stimulating, reviving and strengthening dialogue on aid effectiveness among the Local Education Group (LEG) partners. It does not attempt to provide a full and exhaustive picture of the aid effectiveness situation in the education sector in a country. It does not intend to issue a summative judgment on aid effectiveness in a country, or to rank the effectiveness of a country’s education aid in comparison with other countries’ for any high-stakes purpose other than mutual learning from challenges and good practices. It is based on data submitted by the LEG, which was also subsequently reviewed and validated by the LEG.

Longdefinition: Number of parallel implementation units (PIUs) in the education sector, as reported by the development donors. A project implementation unit (PIU) is parallel when it is created and operates outside existing country institutional and administrative structures at the behest of a donor. This is part of the 2011 Monitoring Exercise on Development Effectiveness in the Education Sector, an unprecedented picture of aid effectiveness in the education sector that can be used as the basis for in-country dialogue and debate going forward. This information looks at how education aid is delivered and managed by development partners and governments.


IndicatorName: Aid provided through program based approaches (% of international aid to education)

Longdefinition: International education aid provided in the context of programme-based approaches (PBAs) and expressed as a percentage of the total disbursed education aid. This indicator is measured by the donors’ use of (general or sector) budget support and/or joint financing mechanisms such as pool funding mechanisms. PBA is a way of engaging in development co-operation based on the principles of coordinated support for a locally owned programme of development, such as a national education plan. Programme-based approaches share the following features: Leadership by the host country; a single comprehensive programme and budget framework; a formalized process for donor coordination and harmonization of donor procedures; efforts to increase the use of country systems. This is part of the 2011 Monitoring Exercise on Development Effectiveness in the Education Sector, an unprecedented picture of aid effectiveness in the education sector that can be used as the basis for in-country dialogue and debate going forward. This information looks at how education aid is delivered and managed by development partners and governments.


Longdefinition: Access to electricity (% of total population): Percentage of total population with access to electricity

Topic: Access to energy

Unitofmeasure: Data for access to electricity are collected among different sources: mostly data from nationally representative household surveys (including national censuses) were used. Survey sources include Demographic and Health Surveys (DHS) and Living Standards Measurement Surveys (LSMS), Multi-Indicator Cluster Surveys (MICS), the World Health Survey (WHS), other nationally developed and implemented surveys, and various government agencies (for example, ministries of energy and utilities). Given the low frequency and the regional distribution of some surveys, a number of countries have gaps in available data. To develop the historical evolution and starting point of electrification rates, a simple modeling approach was adopted to fill in the missing data points - around 1990, around 2000, and around 2010. Therefore, a country can have a continuum of zero to three data points.  The model keeps the original observation if data is available for any of the time periods. This modeling approach allowed the estimation of electrification rates for 212 countries over these three time periods (Indicated as "Estimate"). Notation "Assumption" refers to the assumption of universal access in countries classified as developed by the United Nations.


IndicatorName: Total final energy consumption (TFEC) (TJ)

Longdefinition: Total final energy consumption (TFEC): This indicator is derived form energy balances statistics and is equivalent to total final consumption excluding non-energy use

Topic: Renewable Energy

Unitofmeasure: TJ


Longdefinition: Access to electricity (% of rural population with access): Percentage of rural population with access to electricity


Longdefinition: Access to electricity (% of urban population with access): Percentage of urban population with access to electricity


IndicatorName: Renewable energy share of TFEC (%)

Longdefinition: Renewable energy share of TFEC (%): Share of renewable energy in total final energy consumption


IndicatorName: Renewable energy consumption (TJ)

Longdefinition: Renewable energy consumption (TJ): This indicator includes energy consumption from all renewable resources: hydro, solid biofuels, wind, solar, liquid biofuels, biogas, geothermal, marine and waste


IndicatorName: Total electricity output (GWh)

Longdefinition: Total electricity output (GWh): Total number of GWh generated by all power plants

Unitofmeasure: GWh


IndicatorName: Renewable electricity output (GWh)

Longdefinition: Renewable electricity output (GWh): Electric output (GWh) of power plants using renewable resources, including wind, solar PV, solar thermal, hydro, marine, geothermal, solid biofuels, renewable municipal waste, liquid biofuels and biogas. Electricity production from hydro pumped storage is excluded.


Longdefinition: Renewable electricity share of total electricity output (%): Electricity generated by power plants using renewable resources as a share of total electricity output.


Longdefinition: Energy intensity level of primary energy (MJ/2011 USD PPP): A ratio between energy supply and gross domestic product measured at purchasing power parity. Energy intensity is an indication of how much energy is used to produce one unit of economic output. A lower ratio indicates that less energy is used to produce one unit of output.

Topic: Energy efficiency

Unitofmeasure: MJ/2011 USD PPP


IndicatorName: Poverty Headcount ($1.90 a day)

Shortdefinition: The poverty headcount index measures the proportion of the population with daily per capita income (in 2011 PPP) below the poverty line.

Source: LAC Equity Lab tabulations of SEDLAC (CEDLAS and the World Bank).

Topic: Poverty Rates


IndicatorName: Poverty Headcount ($2.50 a day)

Shortdefinition: The poverty headcount index measures the proportion of the population with daily per capita income (in 2005 PPP) below the poverty line.


IndicatorName: Middle Class ($10-50 a day) Headcount


IndicatorName: Official Moderate Poverty Rate-National

Shortdefinition: The poverty headcount index measures the proportion of the population with daily per capita income below the official poverty line developed by each country.

Source: LAC Equity Lab tabulations of data from National Statistical Offices.


IndicatorName: Poverty Headcount ($4 a day)


IndicatorName: Vulnerable ($4-10 a day) Headcount


IndicatorName: Poverty Gap ($1.90 a day)

Shortdefinition: The poverty gap captures the mean aggregate income or consumption shortfall relative to the poverty line across the entire population. It measures the total resources needed to bring all the poor to the level of the poverty line (averaged over the total population).


IndicatorName: Poverty Gap ($2.50 a day)


IndicatorName: Poverty Gap ($4 a day)


IndicatorName: Poverty Severity ($1.90 a day)

Shortdefinition: The poverty severity index combines information on both poverty and inequality among the poor by averaging the squares of the poverty gaps relative the poverty line


IndicatorName: Poverty Severity ($2.50 a day)


IndicatorName: Poverty Severity ($4 a day)


IndicatorName: Poverty Headcount ($1.90 a day)-Rural


IndicatorName: Poverty Headcount ($2.50 a day)-Rural


IndicatorName: Middle Class ($10-50 a day) Headcount-Rural


IndicatorName: Official Moderate Poverty Rate- Rural


IndicatorName: Poverty Headcount ($4 a day)-Rural


IndicatorName: Vulnerable ($4-10 a day) Headcount-Rural


IndicatorName: Poverty Gap ($1.90 a day)-Rural


IndicatorName: Poverty Gap ($2.50 a day)-Rural


IndicatorName: Poverty Gap ($4 a day)-Rural


IndicatorName: Poverty Severity ($1.90 a day)-Rural


IndicatorName: Poverty Severity ($2.50 a day)-Rural


IndicatorName: Poverty Severity ($4 a day)-Rural


IndicatorName: Poverty Headcount ($1.90 a day)-Urban


IndicatorName: Poverty Headcount ($2.50 a day)-Urban


IndicatorName: Middle Class ($10-50 a day) Headcount-Urban


IndicatorName: Official Moderate Poverty Rate-Urban


IndicatorName: Poverty Headcount ($4 a day)-Urban


IndicatorName: Vulnerable ($4-10 a day) Headcount-Urban


IndicatorName: Poverty Gap ($1.90 a day)-Urban


IndicatorName: Poverty Gap ($2.50 a day)-Urban


IndicatorName: Poverty Gap ($4 a day)-Urban


IndicatorName: Poverty Severity ($1.90 a day)-Urban


IndicatorName: Poverty Severity ($2.50 a day)-Urban


IndicatorName: Poverty Severity ($4 a day)-Urban


IndicatorName: Coverage: Mobile Phone

Shortdefinition: The coverage rate is the childhood access rate of a given opportunity used in calculating the Human Opportunities Index (HOI). The coverage rate does not take into account inequality of access between different circumstance groups.

Topic: Equality of Opportunities


IndicatorName: Coverage: Electricity


IndicatorName: Coverage: Finished Primary School


IndicatorName: Coverage: Internet


IndicatorName: Coverage: Mathematics Proficiency Level 2

Source: LAC Equity Lab tabulations using PISA Data.


IndicatorName: Coverage: Mathematics Proficiency Level 2, Private schools


IndicatorName: Coverage: Mathematics Proficiency Level 2, Public schools


IndicatorName: Coverage: Mathematics Proficiency Level 3


IndicatorName: Coverage: Mathematics Proficiency Level 3, Private schools


IndicatorName: Coverage: Mathematics Proficiency Level 3, Public schools


IndicatorName: Coverage: Reading Proficiency Level 2


IndicatorName: Coverage: Reading Proficiency Level 2, Private schools


IndicatorName: Coverage: Reading Proficiency Level 2, Public schools


IndicatorName: Coverage: Reading Proficiency Level 3


IndicatorName: Coverage: Reading Proficiency Level 3, Private schools


IndicatorName: Coverage: Reading Proficiency Level 3, Public schools


IndicatorName: Coverage: Sanitation


IndicatorName: Coverage: School Enrollment


IndicatorName: Coverage: Science Proficiency Level 2


IndicatorName: Coverage: Science Proficiency Level 2, Private schools


IndicatorName: Coverage: Science Proficiency Level 2, Public schools


IndicatorName: Coverage: Science Proficiency Level 3


IndicatorName: Coverage: Science Proficiency Level 3, Private schools


IndicatorName: Coverage: Science Proficiency Level 3, Public schools


IndicatorName: Coverage: Water


IndicatorName: HOI: Mobile Phone

Shortdefinition: The Human Opportunities Index (HOI) is an economic indicator that captures the degree of inequality of access to an essential service by different circumstance groups. This index takes into account the average access rate (the coverage) of a given opportunity (service) and the inequality of its distribution. The circumstances included in the HOI are the gender of the child, parents' education, household per capita income, number of siblings, presence of both parents in the household, gender of the household head, and urban or rural residence.An increase in the index can be related either to an increase in the coverage or to a more equal distribution of that service.


IndicatorName: HOI: Electricity


IndicatorName: HOI: Finished Primary School


IndicatorName: HOI: Internet


IndicatorName: HOI: Mathematics Proficiency Level 2

Shortdefinition: The Human Opportunities Index (HOI) is an economic indicator that captures the degree of inequality of access to an essential service by different circumstance groups. This index takes into account the average access rate (the coverage) of a given opportunity (service) and the inequality of its distribution. The circumstances included in the HOI are the gender of the child, parents' education, region of school location, father's occupation, and a household wealth index based on assets.An increase in the index can be related either to an increase in the coverage or to a more equal distribution of that service.


IndicatorName: HOI: Mathematics Proficiency Level 2, Private schools


IndicatorName: HOI: Mathematics Proficiency Level 2, Public schools


IndicatorName: HOI: Mathematics Proficiency Level 3


IndicatorName: HOI: Mathematics Proficiency Level 3, Private schools


IndicatorName: HOI: Mathematics Proficiency Level 3, Public schools


IndicatorName: HOI: Reading Proficiency Level 2


IndicatorName: HOI: Reading Proficiency Level 2, Private schools


IndicatorName: HOI: Reading Proficiency Level 2, Public schools


IndicatorName: HOI: Reading Proficiency Level 3


IndicatorName: HOI: Reading Proficiency Level 3, Private schools


IndicatorName: HOI: Reading Proficiency Level 3, Public schools


IndicatorName: HOI: Sanitation


IndicatorName: HOI: School Enrollment


IndicatorName: HOI: Science Proficiency Level 2


IndicatorName: HOI: Science Proficiency Level 2, Private schools


IndicatorName: HOI: Science Proficiency Level 2, Public schools


IndicatorName: HOI: Science Proficiency Level 3


IndicatorName: HOI: Science Proficiency Level 3, Private schools


IndicatorName: HOI: Science Proficiency Level 3, Public schools


IndicatorName: HOI: Water


IndicatorName: Atkinson, A(.5)

Shortdefinition: Atkinson (1970) proposed this class of inequality measures with  a weighting parameter e which measures aversion to inequality. As e rises, the index becomes more sensitive to transfers at the lower end of the distribution and less sensitive to transfers at the top. The limit case, e?0, the index reflects the Function of Rawls which only takes account of transfers to the very lowest income group; at the other extreme, when e=0, we obtain the linear utility function. This ranks distributions solely according to total income.

Topic: Income Inequality


IndicatorName: Atkinson, A(1)


IndicatorName: Atkinson, A(2)


IndicatorName: Generalized Entrophy, GE(-1)

Shortdefinition: The parameter a in the GE class represents the weight given to distances between incomes at different parts of the income distribution, and can take any real value. For lower values of a, GE is more sensitive to changes in the lower tail of the distribution, and for higher values GE is more sensitive to changes that affect the upper tail. GE(1) is the Theil index.


IndicatorName: Generalized Entrophy, GE(2)


IndicatorName: Gini Coefficient

Shortdefinition: The Gini coefficient is most common measure of inequality. It is based on the Lorenz curve, a cumulative frequency curve that compares the distribution of a specific variable (in this case, income) with the uniform distribution that represents equality. The Gini coefficient is bounded by 0 (indicating perfect equality of income) and 1, which means complete inequality. This calculation includes observations of 0 income.


IndicatorName: Gini Coefficient (No Zero Income)

Shortdefinition: The Gini coefficient is most common measure of inequality. It is based on the Lorenz curve, a cumulative frequency curve that compares the distribution of a specific variable (in this case, income) with the uniform distribution that represents equality. The Gini coefficient is bounded by 0 (indicating perfect equality of income) and 1, which means complete inequality. This calculation does not includes observations of 0 income.


IndicatorName: Income Share of First Quintile

Shortdefinition: Share of household income held by the bottom quintile (0-20 percent).


IndicatorName: Income Share of Second Quintile

Shortdefinition: Share of household income held by the seocnd quintile (20 - 40 percent).


IndicatorName: Income Share of Third Quintile

Shortdefinition: Share of household income held by the third quintile (40 - 60 percent).


IndicatorName: Income Share of Fourth Quintile

Shortdefinition: Share of household income held by the fourth quintile (60 - 80 percent).


IndicatorName: Income Share of Fifth Quintile

Shortdefinition: Share of household income held by the top quintile (80 - 100 percent).


IndicatorName: Mean Log Deviation, GE(0)


Shortdefinition: The decile dispersion ratio presents the ratio of the average income of the richest 25 percent by that of the poorest 25 percent. This ratio expresses the income of the top quantile as multiples of that of the poorest quantile. However, it ignores information about incomes in the middle of the income distribution and doesn’t use information about the distribution of income within the top and bottom deciles or percentiles.


Shortdefinition: The decile dispersion ratio presents the ratio of the average income of the richest 10 percent by that of the poorest 10 percent. This ratio expresses the income of the top quantile as multiples of that of the poorest quantile. However, it ignores information about incomes in the middle of the income distribution and doesn’t use information about the distribution of income within the top and bottom deciles or percentiles.


IndicatorName: Theil Index, GE(1)

Shortdefinition: The Theil index is part of a larger family of measures referred to as the General Entropy class. Compared to the Gini index, it has the advantage of being additive across different subgroups or regions in the country. However, it does not have a straightforward representation and lacks the appealing interpretation of the Gini coefficient.


IndicatorName: Gini, Rural


IndicatorName: Mean Log Deviation, GE(0), Rural


IndicatorName: Theil Index, GE(1), Rural


IndicatorName: Gini, Urban


IndicatorName: Mean Log Deviation, GE(0),Urban


IndicatorName: Theil Index, GE(1),Urban


IndicatorName: Youth: Neither in School Nor Working  (15-18)

Shortdefinition: Share of the population ages 15-18 that is neither employed nor in school.

Source: LAC Equity Lab tabulations of SEDLAC (CEDLAS and the World Bank), based on "Out of School and Out of Work: A Diagnostic of Ninis in Latin America" by De Hoyos, Popova, and Rogers (2014, World Bank).

Topic: Markets


IndicatorName: Youth: Neither in School Nor Working  (15-24)

Shortdefinition: Share of the population ages 15-24 that is neither employed nor in school.


IndicatorName: Youth: Neither in School Nor Working  (19-24)

Shortdefinition: Share of the population ages 19-24 that is neither employed nor in school.


IndicatorName: Youth: In School (15-18)

Shortdefinition: Share of the population ages 15-18 that is in school and not employed.


IndicatorName: Youth: In School (15-24)

Shortdefinition: Share of the population ages 15-24 that is in school and not employed.


IndicatorName: Youth: In School (19-24)

Shortdefinition: Share of the population ages 19-24 that is in school and not employed.


IndicatorName: Youth: In School and Employed (15-18)

Shortdefinition: Share of the population ages 15-18 that is in school and employed.


IndicatorName: Youth: In School and Employed (15-24)

Shortdefinition: Share of the population ages 15-24 that is in school and employed.


IndicatorName: Youth: In School and Employed (19-24)

Shortdefinition: Share of the population ages 19-24 that is in school and employed.


IndicatorName: Youth: Employed (15-18)

Shortdefinition: Share of the population ages 15-18 that is employed and not in school.


IndicatorName: Youth: Employed (15-24)

Shortdefinition: Share of the population ages 15-24 that is employed and not in school.


IndicatorName: Youth: Employed (19-24)

Shortdefinition: Share of the population ages 19-24 that is employed and not in school.


IndicatorName: Youth: Neither in School Nor Working  (15-18), Male

Shortdefinition: Share of the male population ages 15-18 that is neither employed nor in school.


IndicatorName: Youth: Neither in School Nor Working  (15-24), Male

Shortdefinition: Share of the male population ages 15-24 that is neither employed nor in school.


IndicatorName: Youth: Neither in School Nor Working  (19-24), Male

Shortdefinition: Share of the male population ages 19-24 that is neither employed nor in school.


IndicatorName: Youth: In School (15-18), Male

Shortdefinition: Share of the male population ages 15-18 that is in school and not employed.


IndicatorName: Youth: In School (15-24), Male

Shortdefinition: Share of the male population ages 15-24 that is in school and not employed.


IndicatorName: Youth: In School (19-24), Male

Shortdefinition: Share of the male population ages 19-24 that is in school and not employed.


IndicatorName: Youth: In School and Employed (15-18), Male

Shortdefinition: Share of the male population ages 15-18 that is in school and employed.


IndicatorName: Youth: In School and Employed (15-24), Male

Shortdefinition: Share of the male population ages 15-24 that is in school and employed.


IndicatorName: Youth: In School and Employed (19-24), Male

Shortdefinition: Share of the male population ages 19-24 that is in school and employed.


IndicatorName: Youth: Employed (15-18), Male

Shortdefinition: Share of the male population ages 15-18 that is employed and not in school.


IndicatorName: Youth: Employed (15-24), Male

Shortdefinition: Share of the male population ages 15-24 that is employed and not in school.


IndicatorName: Youth: Employed (19-24), Male

Shortdefinition: Share of the male population ages 19-24 that is employed and not in school.


IndicatorName: Youth: Neither in School Nor Working  (15-18), Female

Shortdefinition: Share of the female population ages 15-18 that is neither employed nor in school.


IndicatorName: Youth: Neither in School Nor Working  (15-24), Female

Shortdefinition: Share of the female population ages 15-24 that is neither employed nor in school.


IndicatorName: Youth: Neither in School Nor Working  (19-24), Female

Shortdefinition: Share of the female population ages 19-24 that is neither employed nor in school.


IndicatorName: Youth: In School (15-18), Female

Shortdefinition: Share of the female population ages 15-18 that is in school and not employed.


IndicatorName: Youth: In School (15-24), Female

Shortdefinition: Share of the female population ages 15-24 that is in school and not employed.


IndicatorName: Youth: In School (19-24), Female

Shortdefinition: Share of the female population ages 19-24 that is in school and not employed.


IndicatorName: Youth: In School and Employed (15-18), Female

Shortdefinition: Share of the female population ages 15-18 that is in school and employed.


IndicatorName: Youth: In School and Employed (15-24), Female

Shortdefinition: Share of the female population ages 15-24 that is in school and employed.


IndicatorName: Youth: In School and Employed (19-24), Female

Shortdefinition: Share of the female population ages 19-24 that is in school and employed.


IndicatorName: Youth: Employed (15-18), Female

Shortdefinition: Share of the female population ages 15-18 that is employed and not in school.


IndicatorName: Youth: Employed (15-24), Female

Shortdefinition: Share of the female population ages 15-24 that is employed and not in school.


IndicatorName: Youth: Employed (19-24), Female

Shortdefinition: Share of the female population ages 19-24 that is employed and not in school.


IndicatorName: Annualized Mean Income Growth (2004-2014)

Shortdefinition: The official indicator to monitor shared prosperity is the growth in real per capita income (or consumption) of the bottom 40 percent of the income (or consumption) distribution in a country.

Source: LAC Equity Lab tabulations of SEDLAC (CEDLAS and the World Bank) and World Development Indicators

Topic: Shared Prosperity


IndicatorName: Annualized Mean Income Growth Bottom 40 Percent (2004-2014)

Shortdefinition: The indicator to monitor shared prosperity is the growth in real per capita income (or consumption) of the bottom 40 percent of the income (or consumption) distribution in a country.


IndicatorName: Annualized Mean Income Growth (2004-2009)


IndicatorName: Annualized Mean Income Growth Bottom 40 Percent (2004-2009)


IndicatorName: Annualized Mean Income Growth (2009-2014)


IndicatorName: Annualized Mean Income Growth Bottom 40 Percent (2009-2014)


IndicatorName: Consumption per capita (2011 $)

Shortdefinition: Consumption per capita is the market value of all goods and services, including durable products and payments and fees to governments to obtain permits and licenses, purchased by households. It excludes purchases of dwellings but includes imputed rent for owner-occupied dwellings. It also includes the expenditures of nonprofit institutions serving households, even when reported separately by the country.

Source: LAC Equity Lab Tablulations of the World Development Indicators (World Bank).

Topic: Economic Growth


IndicatorName: GDP (current $)

Shortdefinition: GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in current U.S. dollars. Dollar figures for GDP are converted from domestic currencies using single year official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.

Source: World Development Indicators (World Bank)


IndicatorName: GDP growth (annual %)

Shortdefinition: Annual percentage growth rate of GDP at market prices based on constant local currency. Aggregates are based on constant 2011 U.S. dollars. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources.


IndicatorName: GDP (constant 2005 $)

Shortdefinition: GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2005 U.S. dollars. Dollar figures for GDP are converted from domestic currencies using 2000 official exchange rates. For a few countries where the official exchange rate does not reflect the rate effectively applied to actual foreign exchange transactions, an alternative conversion factor is used.


IndicatorName: GDP per capita, PPP (constant 2011 international $)

Shortdefinition: GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2011 international dollars.


IndicatorName: GNI per capita (2011 $)

Shortdefinition: GNI per capita is the gross national income, converted to U.S. dollars using the World Bank Atlas method, divided by the midyear population. GNI is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. To smooth fluctuations in prices and exchange rates, a special Atlas method of conversion is used by the World Bank. This applies a conversion factor that averages the exchange rate for a given year and the two preceding years, adjusted for differences in rates of inflation between the country, and the Euro area, Japan, the United Kingdom, and the United States.


IndicatorName: Labor Income Poverty Index

Shortdefinition: The Labor Income Poverty Index (LIPI)  measures changes in the share of households that have per capita labor income below the regional poverty line of $4 per day, relative to a selected reference period. This reference period is the third quarter in 2010 (2010Q3 = 1), except for Chile and Guatemala, where 2010Q4 = 1.

Source: LAC Equity Lab tabulations of LABLAC (CEDLAS and the World Bank).


IndicatorName: Employees (%)

Shortdefinition: Share of the labor force (ages 18-65) that is a wage or salary worker


IndicatorName: Employees-Bottom 40 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the bottom 40 percent that is a wage or salary worker


IndicatorName: Employees-Top 60 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the top 60 percent that is a wage or salary worker


IndicatorName: Employers (%)

Shortdefinition: Share of the labor force (ages 18-65) that is an employer


IndicatorName: Employers-Bottom 40 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the bottom 40 percent that is an employer


IndicatorName: Employers-Top 60 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the top 60 percent that is an employer


IndicatorName: Labor Force Participation Rate (%)

Shortdefinition: Share of the population (ages 18-65) that is in the labor force


IndicatorName: Labor Force Participation Rate (%)-Bottom 40 Percent

Shortdefinition: Share of the population (ages 18-65) in the Bottom 40 percent that is in the labor force


IndicatorName: Labor Force Participation Rate (%)-Top 60 Percent

Shortdefinition: Share of the population (ages 18-65) in the Top 60 percent that is in the labor force


IndicatorName: Self-Employed (%)

Shortdefinition: Share of the labor force (ages 18-65) that is self-employed and not an employer


IndicatorName: Self-Employed-Bottom 40 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the bottom 40 percent that is self-employed and not an employer


IndicatorName: Self-Employed-Top 60 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the top 60 percent that is a self-employed and not an employer


IndicatorName: Unemployed (%)

Shortdefinition: Share of the labor force (ages 18-65) that is unemployed


IndicatorName: Unemployed-Bottom 40 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the bottom 40 percent that is unemployed


IndicatorName: Unemployed-Top 60 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the top 60 percent that is unemployed


IndicatorName: Unpaid Workers (%)

Shortdefinition: Share of the labor force (ages 18-65) that works without pay


IndicatorName: Unpaid Workers-Bottom 40 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the bottom 40 percent that works without pay


IndicatorName: Unpaid Workers-Top 60 Percent (%)

Shortdefinition: Share of the labor force (ages 18-65) in the top 60 percent that works without pay


IndicatorName: Employees (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) that is a wage or salary worker


IndicatorName: Employees-Bottom 40 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the bottom 40 percent that is a wage or salary worker


IndicatorName: Employees-Top 60 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the top 60 percent that is a wage or salary worker


IndicatorName: Employers (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) that is an employer


IndicatorName: Employers-Bottom 40 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the bottom 40 percent that is an employer


IndicatorName: Employers-Top 60 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the top 60 percent that is an employer


IndicatorName: Labor Force Participation Rate (%), Male

Shortdefinition: Share of the male population (ages 18-65) that is in the labor force


IndicatorName: Labor Force Participation Rate (%)-Bottom 40 Percent, Male

Shortdefinition: Share of the male population (ages 18-65) in the Bottom 40 percent that is in the labor force


IndicatorName: Labor Force Participation Rate (%)-Top 60 Percent, Male

Shortdefinition: Share of the male population (ages 18-65) in the Top 60 percent that is in the labor force


IndicatorName: Self-Employed (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) that is self-employed and not an employer


IndicatorName: Self-Employed-Bottom 40 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the bottom 40 percent that is self-employed and not an employer


IndicatorName: Self-Employed-Top 60 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the top 60 percent that is a self-employed and not an employer


IndicatorName: Unemployed (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) that is unemployed


IndicatorName: Unemployed-Bottom 40 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the bottom 40 percent that is unemployed


IndicatorName: Unemployed-Top 60 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the top 60 percent that is unemployed


IndicatorName: Unpaid Workers (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) that works without pay


IndicatorName: Unpaid Workers-Bottom 40 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the bottom 40 percent that works without pay


IndicatorName: Unpaid Workers-Top 60 Percent (%), Male

Shortdefinition: Share of the male labor force (ages 18-65) in the top 60 percent that works without pay


IndicatorName: Employees (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) that is a wage or salary worker


IndicatorName: Employees-Bottom 40 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the bottom 40 percent that is a wage or salary worker


IndicatorName: Employees-Top 60 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the top 60 percent that is a wage or salary worker


IndicatorName: Employers (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) that is an employer


IndicatorName: Employers-Bottom 40 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the bottom 40 percent that is an employer


IndicatorName: Employers-Top 60 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the top 60 percent that is an employer


IndicatorName: Labor Force Participation Rate (%), Female

Shortdefinition: Share of the female population (ages 18-65) that is in the labor force


IndicatorName: Labor Force Participation Rate (%)-Bottom 40 Percent, Female

Shortdefinition: Share of the female population (ages 18-65) in the Bottom 40 percent that is in the labor force


IndicatorName: Labor Force Participation Rate (%)-Top 60 Percent, Female

Shortdefinition: Share of the female population (ages 18-65) in the Top 60 percent that is in the labor force


IndicatorName: Self-Employed (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) that is self-employed and not an employer


IndicatorName: Self-Employed-Bottom 40 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the bottom 40 percent that is self-employed and not an employer


IndicatorName: Self-Employed-Top 60 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the top 60 percent that is a self-employed and not an employer


IndicatorName: Unemployed (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) that is unemployed


IndicatorName: Unemployed-Bottom 40 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the bottom 40 percent that is unemployed


IndicatorName: Unemployed-Top 60 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the top 60 percent that is unemployed


IndicatorName: Unpaid Workers (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) that works without pay


IndicatorName: Unpaid Workers-Bottom 40 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the bottom 40 percent that works without pay


IndicatorName: Unpaid Workers-Top 60 Percent (%), Female

Shortdefinition: Share of the female labor force (ages 18-65) in the top 60 percent that works without pay


IndicatorName: Problems in accessing health care (not wanting to go alone) (% of women): Q1 (lowest)

License_Type: Open

Longdefinition: Problems in accessing health care: Percentage of women who report they have big problems in accessing health care for themselves when they are sick, by type of problem. The types of problem specified are; knowing where to go for treatment, getting permission to go for treatment, getting money for treatment, distance to health facility, having to take transport, not wanting to go alone, and concern there may not be a female provider.

Periodicity: Annual

Source: Household Surveys (DHS, MICS)

Topic: Quintile: Health


IndicatorName: Problems in accessing health care (not wanting to go alone) (% of women): Q2


IndicatorName: Problems in accessing health care (not wanting to go alone) (% of women): Q3


IndicatorName: Problems in accessing health care (not wanting to go alone) (% of women): Q4


IndicatorName: Problems in accessing health care (not wanting to go alone) (% of women): Q5 (highest)


IndicatorName: Problems in accessing health care (distance to health facility) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (distance to health facility) (% of women): Q2


IndicatorName: Problems in accessing health care (distance to health facility) (% of women): Q3


IndicatorName: Problems in accessing health care (distance to health facility) (% of women): Q4


IndicatorName: Problems in accessing health care (distance to health facility) (% of women): Q5 (highest)


IndicatorName: Problems in accessing health care (getting money for treatment) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (getting money for treatment) (% of women): Q2


IndicatorName: Problems in accessing health care (getting money for treatment) (% of women): Q3


IndicatorName: Problems in accessing health care (getting money for treatment) (% of women): Q4


IndicatorName: Problems in accessing health care (getting money for treatment) (% of women): Q5 (highest)


IndicatorName: Problems in accessing health care (concern there may not be a female provider) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (concern there may not be a female provider) (% of women): Q2


IndicatorName: Problems in accessing health care (concern there may not be a female provider) (% of women): Q3


IndicatorName: Problems in accessing health care (concern there may not be a female provider) (% of women): Q4


IndicatorName: Problems in accessing health care (concern there may not be a female provider) (% of women): Q5 (highest)


IndicatorName: Problems in accessing health care (getting permission to go for treatment) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (getting permission to go for treatment) (% of women): Q2


IndicatorName: Problems in accessing health care (getting permission to go for treatment) (% of women): Q3


IndicatorName: Problems in accessing health care (getting permission to go for treatment) (% of women): Q4


IndicatorName: Problems in accessing health care (getting permission to go for treatment) (% of women): Q5 (highest)


Generalcomments: Data disaggregated by wealth quintile provide insights into health differentials by socioeconomic status and allow problems particular to the poor, such as unequal access to health care to be identified. The table shows the estimates for the poorest and richest quintiles only; the full set of estimates for up to 70 indicators is available at http://data.worldbank.org/data-catalog/healthnutrition-population-statistics. The estimates in the table are based on household survey data, which may refer to a period preceding the survey date or use a definition or methodology different from the estimates in the other tables. Thus the estimates may differ, and caution should be exercised in using the data.

IndicatorName: Problems in accessing health care (any of the specified problems) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (any of the specified problems) (% of women): Q2


IndicatorName: Problems in accessing health care (any of the specified problems) (% of women): Q3


IndicatorName: Problems in accessing health care (any of the specified problems) (% of women): Q4


IndicatorName: Problems in accessing health care (any of the specified problems) (% of women): Q5 (highest)


IndicatorName: Problems in accessing health care (having to take transport) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (having to take transport) (% of women): Q2


IndicatorName: Problems in accessing health care (having to take transport) (% of women): Q3


IndicatorName: Problems in accessing health care (having to take transport) (% of women): Q4


IndicatorName: Problems in accessing health care (having to take transport) (% of women): Q5 (highest)


IndicatorName: Problems in accessing health care (knowing where to go for treatment) (% of women): Q1 (lowest)


IndicatorName: Problems in accessing health care (knowing where to go for treatment) (% of women): Q2


IndicatorName: Problems in accessing health care (knowing where to go for treatment) (% of women): Q3


IndicatorName: Problems in accessing health care (knowing where to go for treatment) (% of women): Q4


IndicatorName: Problems in accessing health care (knowing where to go for treatment) (% of women): Q5 (highest)


IndicatorName: Under-5 mortality rate (per 1,000 live births): Q1 (lowest)

Longdefinition: Under-5 mortality rate: Number of deaths to children under age five years per 1000 live births, based on experience during the reference period before the survey. The reference period is ten years preceding the survey for DHS surveys, and the reference period varies for MICS surveys (often three to five years preceding the survey).


IndicatorName: Under-5 mortality rate (per 1,000 live births): Q2


IndicatorName: Under-5 mortality rate (per 1,000 live births): Q3


IndicatorName: Under-5 mortality rate (per 1,000 live births): Q4


IndicatorName: Under-5 mortality rate (per 1,000 live births): Q5 (highest)


IndicatorName: Acceptability of media messages on family planning (% of women): Q1 (lowest)

Longdefinition: Acceptability of media messages on family planning: Percentage of all women who believe that it is acceptable to have messages about family planning on the radio or television.


IndicatorName: Acceptability of media messages on family planning (% of women): Q2


IndicatorName: Acceptability of media messages on family planning (% of women): Q3


IndicatorName: Acceptability of media messages on family planning (% of women): Q4


IndicatorName: Acceptability of media messages on family planning (% of women): Q5 (highest)


IndicatorName: Median age at first birth (women ages 25-49): Q1 (lowest)

Longdefinition: Median age at first birth: Median age at first birth among women aged 25-49 years.


IndicatorName: Median age at first birth (women ages 25-49): Q2


IndicatorName: Median age at first birth (women ages 25-49): Q3


IndicatorName: Median age at first birth (women ages 25-49): Q4


IndicatorName: Median age at first birth (women ages 25-49): Q5 (highest)


IndicatorName: Median age at first marriage (women ages 25-49): Q1 (lowest)

Longdefinition: Median age at first marriage: Median age at first marriage among women aged 25-49 years.


IndicatorName: Median age at first marriage (women ages 25-49): Q2


IndicatorName: Median age at first marriage (women ages 25-49): Q3


IndicatorName: Median age at first marriage (women ages 25-49): Q4


IndicatorName: Median age at first marriage (women ages 25-49): Q5 (highest)


IndicatorName: Median age at first sexual intercourse (women ages 25-49): Q1 (lowest)

Longdefinition: Median age at first sexual intercourse: Median age at first sexual intercourse among women aged 25-49 years.


IndicatorName: Median age at first sexual intercourse (women ages 25-49): Q2


IndicatorName: Median age at first sexual intercourse (women ages 25-49): Q3


IndicatorName: Median age at first sexual intercourse (women ages 25-49): Q4


IndicatorName: Median age at first sexual intercourse (women ages 25-49): Q5 (highest)


IndicatorName: Heard family planning on radio and television (% of women): Q1 (lowest)

Longdefinition: Heard family planning on radio and television: Percentage of all women who have heard a radio or television message about family planning in the last few months prior to the interview.


IndicatorName: Heard family planning on radio and television (% of women): Q2


IndicatorName: Heard family planning on radio and television (% of women): Q3


IndicatorName: Heard family planning on radio and television (% of women): Q4


IndicatorName: Heard family planning on radio and television (% of women): Q5 (highest)


IndicatorName: Mean ideal number of children (per woman): Q1 (lowest)

Longdefinition: Mean ideal number of children: Mean ideal number of children for all women.


IndicatorName: Mean ideal number of children (per woman): Q2


IndicatorName: Mean ideal number of children (per woman): Q3


IndicatorName: Mean ideal number of children (per woman): Q4


IndicatorName: Mean ideal number of children (per woman): Q5 (highest)


IndicatorName: Knowledge of contraception (any method) (% of married women): Q1 (lowest)

Longdefinition: Knowledge of contraception: Percentage of currently married women who know at least one contraceptive method and at least one modern contraceptive method.


IndicatorName: Knowledge of contraception (any method) (% of married women): Q2


IndicatorName: Knowledge of contraception (any method) (% of married women): Q3


IndicatorName: Knowledge of contraception (any method) (% of married women): Q4


IndicatorName: Knowledge of contraception (any method) (% of married women): Q5 (highest)


IndicatorName: Knowledge of contraception (modern method) (% of married women): Q1 (lowest)


IndicatorName: Knowledge of contraception (modern method) (% of married women): Q2


IndicatorName: Knowledge of contraception (modern method) (% of married women): Q3


IndicatorName: Knowledge of contraception (modern method) (% of married women): Q4


IndicatorName: Knowledge of contraception (modern method) (% of married women): Q5 (highest)


IndicatorName: Desire to stop (limit) childbearing (% of married women): Q1 (lowest)

Longdefinition: Desire to stop (limit) childbearing: Percentage of currently married women who want no more children. Women who have been sterilized or whose spouses are sterilized, are considered to want no more children.


IndicatorName: Desire to stop (limit) childbearing (% of married women): Q2


IndicatorName: Desire to stop (limit) childbearing (% of married women): Q3


IndicatorName: Desire to stop (limit) childbearing (% of married women): Q4


IndicatorName: Desire to stop (limit) childbearing (% of married women): Q5 (highest)


IndicatorName: Median birth interval (months): Q1 (lowest)

Longdefinition: Median birth interval: Median duration of the birth interval in months for non-first births in the five years preceding the survey.


IndicatorName: Median birth interval (months): Q2


IndicatorName: Median birth interval (months): Q3


IndicatorName: Median birth interval (months): Q4


IndicatorName: Median birth interval (months): Q5 (highest)


IndicatorName: Fertility planning status (wanted later) (% of births): Q1 (lowest)

Longdefinition: Fertility planning status: Percentage of births in the five years preceding the survey which are planned (wanted then), mistimed (wanted later), and unplanned (wanted no more).


IndicatorName: Fertility planning status (wanted later) (% of births): Q2


IndicatorName: Fertility planning status (wanted later) (% of births): Q3


IndicatorName: Fertility planning status (wanted later) (% of births): Q4


IndicatorName: Fertility planning status (wanted later) (% of births): Q5 (highest)


IndicatorName: Family planning messages in print (% of women): Q1 (lowest)

Longdefinition: Family planning messages in print: Percentage of all women who have received a message about family planning from printed media in the last few months prior to the interview.