School attendance among 5- to 24-year-olds in Liberia

An article that was published on this site in July 2011, "School attendance by grade and age in Liberia", shows that overage school attendance is very common in Liberia, mainly due to late entry into the education system. The official primary school age in Liberia is 6 to 11 years according to the International Standard Classification of Education (ISCED). Yet, an analysis of data from a Demographic and Health Survey (DHS) from 2007 demonstrates that the vast majority of pupils in primary and secondary school in Liberia are older than the theoretical age for their grade. For example, nearly three quarters of all first-graders in Liberia are at least 3 years older than the official entrance age into primary education (see Figure 1). 24% of all first-graders are 5 or 6 years overage, 14% are 7 or 8 years overage, and 5% are 9 or more years overage. Children in the last group start primary school at age 15 or later.

Figure 1: Age distribution of pupils in primary and secondary education in Liberia, 2007

Source: Demographic and Health Survey (DHS) 2007. - Click image to enlarge.

Figure 1 shows the age distribution in the 12 grades of primary and secondary education in Liberia. The same DHS data from 2007 can also be analyzed differently, by single year of age instead of by grade. Figure 2 presents the level and grade attended for the population between 5 and 24 years of age. For each age group, the graph shows the percentage in pre-primary, primary, secondary, and tertiary education. The data for primary and secondary education is further divided into single grades, indicated by shades of blue for the 6 primary grades and shades of green for the 6 secondary grades. In addition, Figure 2 shows how many percent are out of school and for how many percent the level and grade of education attended is missing.

Figure 2: Level and grade of education attended by population 5-24 years in Liberia, 2007

Source: Demographic and Health Survey (DHS) 2007. - Click image to enlarge.

One surprising finding is the large percentage of children between 5 and 14 years who are in pre-primary education. About half of all 5- to 8-year-olds, 39% of all 9-year-olds, and 28% of all 10-year-olds are in pre-primary education. Even at age 14, nearly 7% are still in preschool. One possible explanation is that parents keep their children in pre-primary education due to lack of access to primary education.

Some children start attending primary education at age 5 or 6 but most children enter late. Even among persons 20 years or older, some are still in the first primary grade. School attendance overall reaches a peak at age 14, when more than 86% are in school, mostly in primary education. Primary school attendance rates are highest among 12- to 15-year-olds; two out of three children in this age group are in primary education. Secondary school attendance reaches a peak at age 19, when 38% are in secondary education; in addition, at least 30% of all 17- and 18-year-olds are in secondary education. Attendance rates for tertiary education are low and do not exceed 2% until age 24, when 4% study at a university or other institution of higher learning.

The percentage of the population that is not in any type of formal education decreases from 44% among 5-year-olds to 13% among 14-year-olds. From age 15, out-of-school rates increase again and among 23- and 24-year-olds in Liberia, 61% and 60%, respectively, are not in school. Lastly, for a small percentage of the DHS sample, the grade and level attended was missing.

Related articles

• School attendance by grade and age in Liberia
• Overage pupils in primary and secondary education
• Official school ages: primary, secondary, and compulsory education
• Primary school entrance age and duration
• Survival rate to the last grade of primary school
• Transition from primary to secondary education
• Regional disparities in school life expectancy
• Educational attainment in sub-Saharan Africa
• Children of primary and secondary school age out of school
• Children out of school: Global trend 1999-2008
• Review of the International Standard Classification of Education (ISCED)

External links

• Demographic and Health Surveys (DHS)
• International Standard Classification of Education (ISCED)

Friedrich Huebler, 30 April 2012, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2012/04/liberia.html

School attendance by grade and age in Liberia

The article "Overage pupils in primary and secondary education" of June 2011 summarized data on school attendance from 36 countries and found that overage school attendance is common in sub-Saharan Africa. The countries with the highest share of overage pupils in the sample were Haiti, Liberia, Uganda, Rwanda, Cambodia, Ethiopia, Ghana, Madagascar, and Malawi. In Liberia, 93% of all pupils in primary and secondary education are at least one year overage for their grade and 84% are at least two years overage. This article takes a closer look at Liberia by analyzing data from the same Demographic and Health Survey (DHS) from 2007 that was analyzed for the earlier article.

The official primary school age in Liberia, as defined by the International Standard Classification of Education (ISCED), is 6 to 11 years. The official secondary school age is 12 to 17 years. Given these school ages, a 6-year-old in grade 1 and a 7-year-old in grade 2 are in the right grade for their age. A 7-year-old in grade 1 would be one year overage and an 8-year-old in grade 1 would be two years overage. A 5-year-old in grade 1 would be one year underage.

The graph below shows the age distribution of pupils in primary and secondary education in Liberia. Pupils who are in the right grade for their age or underage are in a small minority. In the first twelve grades, their share never exceeds 9%. By contrast, as many as 98% of all pupils in a single grade are overage. The degree of overage attendance is astounding: 5% of all first graders are 9 or more years overage, meaning that they start primary school at age 15 or later. 19% of all first graders are at least 7 years overage and 44% are at least 5 years overage. In grade 8, 18% of all pupils are 9 or more years overage; while the official age for eighth graders is 13 years, one in five pupils in that grade in Liberia is 22 years or older.

Age distribution of pupils in primary and secondary education in Liberia, 2007

Source: Demographic and Health Survey (DHS) 2007. - Click image to enlarge.

What are the reasons for this high prevalence of overage school attendance? In Liberia, as in other countries of sub-Saharan Africa, many pupils enter school late for a variety of reasons that include poverty, a scarcity of educational facilities, and lack of enforcement of the official school ages. High repetition rates further exacerbate the problem of overage school attendance. Among the consequences of this age structure in school are a higher probability of dropout and reduced lifetime earnings caused by incomplete education or late entry into the labor market.

Related articles

• School attendance among 5- to 24-year-olds in Liberia
• Overage pupils in primary and secondary education
• Official school ages: primary, secondary, and compulsory education
• Primary school entrance age and duration
• Repetition rates in primary and secondary school
• Survival rate to the last grade of primary school
• Transition from primary to secondary education
• Regional disparities in school life expectancy
• Educational attainment in sub-Saharan Africa
• Children of primary and secondary school age out of school
• Children out of school: Global trend 1999-2008
• Household wealth and years of education
• National wealth and years of education
• National wealth and school enrollment
• Review of the International Standard Classification of Education (ISCED)

External links

• Demographic and Health Surveys (DHS)
• International Standard Classification of Education (ISCED)

Friedrich Huebler, 31 July 2011 (edited 27 February 2012), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2011/07/liberia.html

Overage pupils in primary and secondary education

Pupils can be overage for their grade for two reasons: late entry and repetition. Take for example a country where children are expected to enter primary school at 6 years of age. If a child enters grade 1 at age 7, he or she is one year overage for the grade. A child who enters grade 1 at age 8 and repeats the grade will be three years overage for the grade; two of the three years are due to late entry and the third year is due to repetition.

Children who are many years overage are less likely to complete their education. If they stay in school, they graduate later than pupils who entered school at the official starting age. These overage graduates enter the labor market late and often with lower educational attainment. As a consequence, they are likely to have lower cumulative earnings over their lifetime than persons who graduated and entered the labor market at a younger age and with higher educational attainment. For the country as a whole this in turn means reduced national income and slower economic growth.

Overage school attendance is common in sub-Saharan Africa but also occurs in other regions. The figure below shows data from 36 nationally representative household surveys that were conducted between 2004 and 2009. 34 of these surveys were Demographic and Health Surveys (DHS) and the remaining two surveys, those for Bangladesh and Kyrgyzstan, were Multiple Indicator Cluster Surveys (MICS). For each country, the graph shows the share of children in primary and secondary education who are at least one or two years overage for their grade. The entrance ages and durations of primary and secondary education used in this study are those specified by the International Standard Classification of Education (ISCED).

Percentage of children in primary and secondary education who are at least 1 or 2 years overage for their grade

Source: Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), 2004-2009.

In the sample of 36 countries, the share of children who are at least one year overage for their grade ranges from 5 percent in Armenia to 95 percent in Haiti. Other countries where at least three out of four pupils in primary or secondary education are overage include Liberia (93%), Uganda (86%), Rwanda (83%), Cambodia (78%), Mozambique (76%), and Ethiopia (75%). In addition to Armenia, the percentage of pupils who are at least one year overage is below 10 percent in Moldova and Egypt (8%).

The share of children in primary and secondary education who are at least two years overage for their grade ranges from 1 percent in Armenia to 85 percent in Haiti. In addition to Haiti, at least half of all pupils are two or more years overage in Liberia (84%), Uganda (67%), Rwanda (65%), Ethiopia (59%), Cambodia (55%), Malawi (51%), and Madagascar (50%). On average, the share of children who are at least two years overage is 19 percent less than the share of children who are at least one year overage.

However, there are exceptions. In Albania and the Ukraine, 43 and 26 percent respectively of all children in primary and secondary education are at least one year overage. By contrast, only 5 and 2 percent respectively are at least two years overage. This means that in these two countries, a relatively large number of children enter school one year late or repeat one grade, but hardly any children enter school two years late or repeat more than one grade. Late entry and repetition are therefore less likely to have negative consequences on lifetime earnings and national income in Albania and the Ukraine than in other countries.

Related articles

• Official school ages: primary, secondary, and compulsory education
• Primary school entrance age and duration
• Repetition rates in primary and secondary school
• Survival rate to the last grade of primary school
• Transition from primary to secondary education
• Regional disparities in school life expectancy
• Children of primary and secondary school age out of school
• Children out of school: Global trend 1999-2008
• Household wealth and years of education
• National wealth and years of education
• National wealth and school enrollment
• Poverty and educational attainment in the United States
• Poverty and educational attainment in the United States, part 2
• Review of the International Standard Classification of Education (ISCED)

External links

• Demographic and Health Surveys (DHS)
• Multiple Indicator Cluster Surveys (MICS)
• International Standard Classification of Education (ISCED)

Friedrich Huebler, 30 June 2011, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2011/06/age.html

Educational attainment in the United States, 1940-2009

In the United States, the level of education of the adult population has increased steadily since the middle of the 20th century. The share of the population 25 years and over who attended college increased from 10 percent in 1940 to 56 percent in 2009. 30 percent of the population in this age group had completed 4 or more years of college in 2009. The share of the population with only elementary education or no formal schooling fell from 60 percent in 1940 to 6 percent in 2009. High school reached its peak as the most common level of education in the 1970s and 1980s, with a share around 50 percent, but younger cohorts are more likely to continue their education at the post-secondary level.

This increase in educational attainment of the work force has contributed to a strengthening of U.S. competitiveness in the global economy. At the same time, the increased demand for highly skilled workers emphasizes the importance of secondary and higher education for individuals in search of employment.

The trends in years of schooling of the adult U.S. population from 1940 to 2009 are visualized in the figure below. The table that follows lists data for selected years. The data on educational attainment were collected with the Current Population Survey (CPS), a joint survey by the Bureau of Labor Statistics and the Census Bureau that has been conducted since 1940.

Years of school completed by population 25 years and over, 1940-2009

Source: U.S. Census Bureau, September 2010

Years of school completed by population 25 years and over, 1940-2009

Years of school	Percent of population
	1940	1950	1960	1970	1980	1990	2000	2009
0 to 4 years elementary school	13.5	10.8	8.3	5.3	3.4	2.4	1.6	1.4
5 to 8 years elementary school	46.0	36.1	31.4	22.4	14.1	8.8	5.4	4.1
1 to 3 years high school	15.0	16.9	19.2	17.1	13.9	11.2	8.9	7.9
4 years high school	14.1	20.1	24.6	34.0	36.8	38.4	33.1	31.1
1 to 3 years college	5.4	7.1	8.8	10.2	14.9	17.9	25.4	26.1
4 or more years college	4.6	6.0	7.7	11.0	17.0	21.3	25.6	29.5

Source: U.S. Census Bureau, September 2010

Data source

• U.S. Census Bureau, CPS historical time series tables, September 2010, Table A-1, "Years of school completed by people 25 years and over, by age and sex: Selected years 1940 to 2009" (Excel file, 85 kB; CSV file, 47 kB)

Related articles

• Poverty and educational attainment in the United States
• Poverty and educational attainment in the United States, part 2
• Achievement gap between black and white students in the United States
• Educational attainment in Brazil since 1920
• Educational attainment in India, 1950-2000
• Educational attainment in sub-Saharan Africa
• Household wealth and years of education
• National wealth and years of education

External links

• U.S. Census Bureau
• U.S. Bureau of Labor Statistics
• Current Population Survey (CPS)
• CPS data on educational attainment
• CPS historical time series data

Friedrich Huebler, 3 January 2011, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2011/01/usa.html

Age distribution by wealth quintile in household survey data

Household survey data may not contain precise ages for all household members. Age heaping, an unusually high share of ages ending in 0 and 5, is especially common in survey data from developing countries. Age heaping can be caused by uncertainty of survey respondents about their own age or the age of other household members, intentional misreporting, or errors during data collection and processing. Errors in age data can affect the estimation of education indicators from household survey data because these indicators are often calculated for specific age groups. Examples include the youth literacy rate and school attendance rates for the population of primary and secondary school age.

An article on age distribution in household survey data on this site demonstrated age heaping in survey data from India, Nigeria and to a lesser extent Indonesia. Data for Brazil showed little to no age heaping. To investigate whether age heaping is more common among certain segments of the population, the survey samples can be disaggregated by household wealth quintile. For this purpose, the households in the sample are first ranked by wealth, from poorest to richest. The population is then divided into five equally sized groups with 20 percent each of all household members in the sample.

Figure 1 shows the age distribution by single year of age and wealth quintile in data from Brazil. The data were collected in 2006 with a Pesquisa Nacional por Amostra de Domicílios (PNAD) or National Household Sample Survey. No preference for ages ending in 0 and 5 could be observed for the entire survey sample combined and disaggregation does not change the result. The age distribution in each quintile is smooth, with no peaks at ages ending in 0 and 5. The only obvious difference between the population in the different quintiles is that poorer families tend to have more children, indicated by a peak in the age distribution in the younger age groups.

Figure 1: Age distribution in household survey data by single-year age group and household wealth quintile, Brazil

Data source: Brazil PNAD 2006.

Figure 2 shows the age distribution in Demographic and Health Survey (DHS) data from India. The data were collected in 2005-06. In contrast to Brazil, there is considerable age heaping in the Indian data. However, peaks around ages ending in 0 and 5 are more pronounced among poorer households. Increasing household wealth is associated with a decrease in age heaping.

Figure 2: Age distribution in household survey data by single-year age group and household wealth quintile, India

Data source: India DHS 2005-06.

Data from Indonesia, collected with a Demographic and Health Survey in 2007, are shown in Figure 3. At the aggregate level, the survey data from Indonesia exhibit little age heaping. However, disaggregation by wealth quintile reveals that reported ages ending in 0 and 5 are more common among poorer households.

Figure 3: Age distribution in household survey data by single-year age group and household wealth quintile, Indonesia

Data source: Indonesia DHS 2007.

Finally, Figure 4 displays data from a 2008 Demographic and Health Survey in Nigeria. Similar to India, there is a high percentage of ages ending in 0 and 5 in the combined survey sample. The disaggregated data show that age heaping occurs more frequently among poorer households but also exists in the richest wealth quintile.

Figure 4: Age distribution in household survey data by single-year age group and household wealth quintile, Nigeria

Data source: Nigeria DHS 2008.

Disaggregation of household survey data from Brazil, India, Indonesia and Nigeria has shown that age heaping occurs more frequently in data collected from poorer households. Wealthier households may have more access to birth registration and therefore may be able to verify their ages with birth certificates. Wealthier households are also likely to be smaller and survey respondents would therefore have to know and report the ages of fewer persons than respondents from larger households.

Age heaping in survey data reduces the accuracy of education indicators that are calculated for single years of age, for example for all children of primary school entrance or graduation age. However, indicator estimates for larger age groups, for example all children of primary or secondary school age, are less likely to be affected by errors in age data.

Related articles

• Age distribution in household survey data
• Educational attainment in Brazil since 1920
• School attendance in Brazil
• Educational attainment in India, 1950-2000
• Primary school completion in India, 1950-2000
• Age and level of education in Nigeria
• Adult literacy in Nigeria
• Youth literacy rates
• Official school ages: primary, secondary, and compulsory education

External links

• Demographic and Health Surveys (DHS)
• Brazil National Household Sample Survey 2006
• Education glossary by the UNESCO Institute for Statistics

Friedrich Huebler, 30 April 2010, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2010/04/age.html

Age distribution in household survey data

Indicators in the field of education statistics, such as those defined in the education glossary of the UNESCO Institute for Statistics, are typically calculated for specific age groups. For example, the youth literacy rate is for the population age 15 to 24 years, the adult literacy rate for the population age 15 and over, and the net attendance rates for primary and secondary education are for the population of primary and secondary school age, respectively. The net intake rate is an example for an indicator that is calculated for a single year of age, the official start age of primary school.

For a correct calculation of education indicators it is necessary to have precise age data. In the case of data collected with population censuses or household surveys this means that the ages recorded for each household member should be without error. However, census or survey data sometimes exhibit the phenomenon of age heaping, usually on ages ending in 0 and 5. Such heaping or digit preference occurs when survey respondents don't know their own age or the ages of other household members, or when ages are intentionally misreported.

The presence of age heaping can be tested with indices of age preference such as Whipple's index. Heaping can also be detected through visual inspection of the age distribution in household survey data. Figures 1 and 2 summarize the age distribution in survey data from Brazil, India, Indonesia and Nigeria. The data from Brazil were collected with a Pesquisa Nacional por Amostra de Domicílios or National Household Sample Survey in 2006. The data for the other three countries are from Demographic and Health Surveys conducted between 2005 and 2008.

Figure 1 shows the share of single years of age in the total survey sample. A preference for ages ending in 0 and 5 is strikingly obvious in the data from India and Nigeria. In the data from Indonesia, age heaping is also present, but to a lesser extent than for India and Nigeria. Lastly, the graph for Brazil is relatively smooth, indicating a near absence of age heaping.

Figure 1: Age distribution in survey data by single-year age group

Data source: Brazil PNAD 2006, India DHS 2005-06, Indonesia DHS 2007, Nigeria DHS 2008.

In Figure 2, single ages are combined in five-year age groups, from 0-4 years and 5-9 years to 90-94 years and 95 years and over. Compared to Figure 1, the distribution lines are much smoother, including for India and Nigeria. We can conclude that age heaping is problematic for education indicators that are calculated for single years, for example all children of primary school entrance age, but less so for indicators that are calculated for a larger age group, for example all children of primary or secondary school age or all persons over 15 years of age.

Figure 2: Age distribution in survey data by five-year age group

Data source: Brazil PNAD 2006, India DHS 2005-06, Indonesia DHS 2007, Nigeria DHS 2008.

Related articles

• Age distribution by wealth quintile in household survey data
• Educational attainment in Brazil since 1920
• School attendance in Brazil
• Educational attainment in India, 1950-2000
• Primary school completion in India, 1950-2000
• Age and level of education in Nigeria
• Adult literacy in Nigeria
• Youth literacy rates
• Adult literacy in 2007
• Official school ages: primary, secondary, and compulsory education

External links

• Demographic and Health Surveys (DHS)
• Brazil National Household Sample Survey 2006
• Whipple's index entry in Wikipedia
• Education glossary by the UNESCO Institute for Statistics
• Net intake rate definition in UIS education glossary
• UNESCO Institute for Statistics (UIS)

Friedrich Huebler, 28 February 2010 (edited 30 September 2010), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2010/02/age.html

MICS Compiler by UNICEF

MICS Compiler, a new website by UNICEF, provides easy access to data from Multiple Indicator Cluster Surveys (MICS), nationally representative household surveys that are carried out with support from UNICEF. The site is similar to STATcompiler, which offers data from Demographic and Health Surveys (DHS).

MICS Compiler was launched with data from 26 surveys conducted in Africa, Asia, Eastern Europe, and Latin America and the Caribbean between 2005 and 2007. Estimates are available for 39 indicators in ten areas.

1. Survey information
2. Child mortality
3. Nutrition
4. Child health
5. Environment
6. Reproductive health
7. Child development
8. Education
9. Child protection
10. HIV/AIDS, sexual behavior, and orphaned and vulnerable children

Access to the data requires two steps. In the first step, users of MICS Compiler must select one or more surveys. In the second step, the indicators are selected. The results are presented in tables or graphs. As an example, the screenshot below shows a graph with the female youth literacy rate in 21 countries.

MICS Compiler by UNICEF: Female youth literacy rate in 21 countries, 2005-2006


At present, the female youth literacy rate is the only indicator listed in the area of education but the MICS for All blog has announced plans to expand MICS Compiler with data for more indicators and more surveys. There are also plans for adding a mapping function, similar to the DHS STATmapper.

Related articles

• UNICEF releases new MICS survey data
• Multiple Indicator Cluster Survey blog
  
• Education data from household surveys

External links

• MICS Compiler
• Multiple Indicator Cluster Surveys (MICS)
• MICS for All blog
• UNICEF
• STATcompiler
• STATmapper
• Demographic and Health Surveys (DHS)

Friedrich Huebler, 30 December 2009, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2009/12/mics.html

Achievement gap between black and white students in the United States

Two previous articles on this site presented data on disparities in school attendance by ethnicity, language or religion from 17 nationally representative household surveys. Net attendance rates among the least disadvantaged groups are up to 1.7 times higher than net attendance rates among the most disadvantaged groups at the primary level of education and up to 6 times higher at the secondary level of education.

Similar gaps in access to education and in student achievement exist in the United States. The National Center for Education Statistics has published the most recent findings of its National Assessment of Educational Progress, a long term study of student achievement, in the report NAEP 2008 Trends in Academic Progress. The results of the periodic assessments by the NCES demonstrate a persistent achievement gap between black and white students.

Figure 1 summarizes the results of 12 reading assessments over the period 1971 to 2008. For each assessment, the average reading scores of black and white students aged 9, 13 and 17 years are plotted in the graph. The shaded area indicates the achievement gap between black and white students. For 2004, two scores are shown for each group because the assessment format was revised in that year. The reading scores in 1971 and 2008 are also listed in Table 1.

Figure 1: Average reading scores of black and white students, 1971-2008

Data source: NAEP 2008 Trends in Academic Progress, p. 14-15.

Black and white students of all ages achieved higher reading scores in 2008 than in previous years. In 1971, 9-year-old white students had an average score of 214 and black students in the same age group scored 170 on average. In 2008, the average score of 9-year-olds was 228 for white students and 204 for black students. As a result, the score gap between black and white 9-year-olds fell from 44 in 1971 to 24 in 2008. For 13-year-old students the score gap fell from 39 to 21 over the same period and for 17-year-olds it fell from 52 to 29.

Closer inspection of the data reveals that most of this reduction in the achievement gap occurred during the 1970s and 1980s. Since the 1990s, the gap between black and white students has remained relatively stable. Although the reading scores of black students continue to improve, they no longer grow fast enough to close the gap with white students.

Table 1: Average reading scores of black and white students, 1971 and 2008

Year	Age	Average reading score		Score gap
		Black	White
1971	9 years	170	214	44
2008	9 years	204	228	24
1971	13 years	222	261	39
2008	13 years	247	268	21
1971	17 years	239	291	52
2008	17 years	266	295	29

Data source: NAEP 2008 Trends in Academic Progress, p. 14-15.

The NAEP report shows a similar achievement gap between black and white students in the area of mathematics. In addition, there is a similar but smaller gap between white and Hispanic students in reading and mathematics. In spite of long-running efforts to improve the education system for all parts of the population, minority students consistently lag behind white students in the United States.

Reference

• Rampey, Bobby D., Gloria S. Dion, and Patricia L. Donahue. 2009. NAEP 2008 Trends in Academic Progress. Washington: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. (Download PDF file, 1.1 MB)
  

Related articles

• Poverty and educational attainment in the United States
• Poverty and educational attainment in the United States, part 2
• Disparities in primary school attendance by ethnicity, language or religion
• Disparities in secondary school attendance by ethnicity, language or religion
• Caste, ethnicity, and school attendance in Nepal

External links

• National Center for Education Statistics
• The Nation's Report Card: Trends in Academic Progress in Reading and Mathematics 2008

Friedrich Huebler, 9 May 2009, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2009/05/usa.html

Disparities in secondary school attendance by ethnicity, language or religion

Members of ethnic, linguistic or religious minorities face barriers to access to education in many countries. In an article on primary school attendance by ethnicity, language or religion the presence of such disparities was demonstrated with data from Multiple Indicator Cluster Surveys. The MICS are nationally representative household surveys supported by UNICEF that collect data on school attendance and other household member characteristics. In the most recent round of MICS surveys, carried out in 2005 and 2006, 17 countries collected data on school attendance by ethnicity, language or religion: Albania, Belize, Gambia, Georgia, Guinea-Bissau, Guyana, Kazakhstan, Kyrgyzstan, Lao PDR, Macedonia, Montenegro, Serbia, Sierra Leone, Thailand, Togo, Uzbekistan, and Viet Nam.

The school attendance data from the MICS surveys can be used to generate an education parity index that measures relative disparity across different groups of disaggregation, as described in the article on primary school attendance. To calculate the index, the attendance rate of the group with the lowest value is divided by the attendance rate of the group with the highest value. The result is a value between 0 and 1, where 1 means that children from different ethnic, linguistic or religious groups have the same secondary school attendance rate. Values closer to 0 indicate increasing disparity.

As an example, Thailand collected data on school attendance that can be linked to the mother tongue of the household head. The secondary school net attendance rates (NAR) for two groups of children identified in the 2005-06 MICS data are shown in Table 1.

Table 1: Secondary school attendance in Thailand

Mother tongue of household head	Secondary NAR (%)
Thai	81.2
Other language	65.8
Total	79.8

Data source: MICS 2005-06.

Among children from households whose head speaks Thai, the secondary NAR is 81.2 percent. Among children from households headed by someone with a different mother tongue, the secondary NAR is 65.8 percent. The secondary school parity index for Thailand is then calculated as follows.

Secondary school parity index	= Lowest secondary NAR / Highest secondary NAR
	= Secondary NAR of speakers of another language /    Secondary NAR of speakers of Thai
	= 65.8 / 81.2
	= 0.81

The parity index is a relative, not an absolute measure of disparity. The value 0.81 means that the secondary NAR of speakers of another language is, relatively speaking, 19 percent below the secondary NAR of Thai speakers. The absolute gap between children from the two groups is 15.4 percent, the difference between 81.2 and 65.8.

The secondary school parity index for all 17 countries with data is shown in Figure 1. The index ranges from a high of 0.98 in Viet Nam to a low of 0.17 in Serbia. The low value for Serbia is explained by extremely low secondary school attendance among the Roma ethnic group. The secondary school NAR for Roma children is 14.8 percent, compared to 85.9 percent for Serbians and 88.6 percent for children from other ethnic groups. In addition to Serbia, six other countries have index values at or below 0.5: Lao PDR, Macedonia, Guinea-Bissau, Togo, Belize, and Montenegro. In these countries, children from the most advantaged ethnic, linguistic or religious group have secondary school net attendance rates that are at least twice as high as the attendance rates of children from the most disadvantaged group. In Viet Nam, Kazakhstan, Albania, and Uzbekistan, on the other hand, disparities in access to secondary education are relatively small.

Figure 1: Secondary school parity index: School attendance by ethnicity, language or religion

Data source: MICS 2005-2006.

The attendance rates used to calculate the secondary school parity index are summarized in Table 2. The table also shows whether the national agencies that implemented a survey chose ethnicity, language or religion to identify minorities. A comparison with data on primary school attendance makes clear that disparities at the secondary level of education are much larger than disparities at the primary level, where the parity index for the same group of countries has a range from 0.59 to 0.99.

Table 2: Disparities in secondary school attendance by ethnicity, language or religion

Country	Year	Characteristic	Primary NAR (%)		Parity index
			Min.	Max.
Albania	2005	Religion	77.1	83.7	0.92
Belize	2006	Language	36.9	79.2	0.47
Gambia	2006	Ethnicity	27.5	48.2	0.57
Georgia	2005	Ethnicity	69.0	90.6	0.76
Guinea-Bissau	2006	Language	4.3	13.8	0.31
Guyana	2006	Ethnicity	56.0	81.1	0.69
Kazakhstan	2006	Language	90.8	96.0	0.95
Kyrgyzstan	2006	Language	79.3	92.4	0.86
Lao PDR	2006	Language	10.0	45.6	0.22
Macedonia	2005	Ethnicity	17.4	73.7	0.24
Montenegro	2005	Ethnicity	46.5	92.9	0.50
Serbia	2005	Ethnicity	14.8	88.6	0.17
Sierra Leone	2005	Religion	17.8	24.4	0.73
Thailand	2005-06	Language	65.8	81.2	0.81
Togo	2006	Ethnicity	22.9	53.1	0.43
Uzbekistan	2006	Language	87.1	95.4	0.91
Viet Nam	2006	Ethnicity	93.8	95.7	0.98

Data source: MICS 2005-2006.

Data source

• Multiple Indicator Cluster Surveys (MICS), 2005-2006.

Related articles

• Disparities in primary school attendance by ethnicity, language or religion
• Caste, ethnicity, and school attendance in Nepal
• Education disparity in South Asia
• Education disparity trends in South Asia

External links

• Multiple Indicator Cluster Surveys (MICS)
• UNICEF

Friedrich Huebler, 15 March 2009, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2009/03/elr2.html

Disparities in primary school attendance by ethnicity, language or religion

In many parts of the world, members of ethnic, linguistic or religious minorities face barriers to access to education. One example is Nepal, where caste and ethnicity are closely linked to primary and secondary school attendance rates. Because of the importance of this issue, "Minorities and the right to education" was the thematic focus of the first United Nations Forum on Minority Issues, which took place in Geneva on 15 and 16 December 2008.

The presence of disparities in national education systems can be demonstrated with data from Multiple Indicator Cluster Surveys (MICS), nationally representative household surveys that are carried out with the support of UNICEF. The MICS data collection process is explained in the Multiple Indicator Cluster Survey Manual 2005 (UNICEF 2006). MICS surveys conducted in 2005 and 2006 collected data on school attendance by ethnicity, language or religion in the following countries: Albania, Belize, Gambia, Georgia, Guinea-Bissau, Guyana, Kazakhstan, Kyrgyzstan, Lao PDR, Macedonia, Montenegro, Serbia, Sierra Leone, Thailand, Togo, Uzbekistan, and Viet Nam.

Minority Rights Group International (MRG) defines minorities as "non-dominant ethnic, religious and linguistic communities, who may not necessarily be numerical minorities. ... [These groups] may lack access to political power, face discrimination and human rights abuses, and have 'development' policies imposed upon them" (MRG 2009). The MICS data alone are not sufficient to identify groups that can be considered minorities as defined by MRG because the size of particular groups in relation to the entire population of a country does not indicate whether these groups are discriminated in any way. This article therefore examines differences in school attendance between all ethnic, linguistic or religious groups for which data are available. Disparities between these groups can provide insights into whether any part of a country's population faces discrimination or is otherwise disadvantaged.

With the school attendance data from the MICS surveys it is possible to generate an education parity index that measures relative disparity across different groups of disaggregation, following the methodology developed by Huebler (2008) for data on school attendance by sex, area of residence, and household wealth. The education parity index has a range of 0 to 1, where 1 indicates parity between all groups of disaggregation. This methodology can also be applied to primary school attendance rates by ethnicity, language or religion. To calculate the index, the attendance rate of the group with the lowest value is divided by the attendance rate of the group with the highest value, yielding a value between 0 and 1. The value 1 means that children from different ethnic, linguistic or religious groups have the same primary school attendance rates. Smaller values indicate increasing disparity.

The calculation of the parity index can be illustrated with data from Macedonia. A MICS survey conducted in 2005 collected data on school attendance by ethnic group of the household head. Four ethnic groups are identified in the data and their respective primary school net attendance rates (NAR) are shown in Table 1.

Table 1: Primary school attendance in Macedonia

Ethnic group of household head	Primary NAR (%)
Albanian	97.8
Macedonian	97.5
Roma	61.1
Other ethnic group	81.9
Total	94.9

Data source: MICS 2005.

Albanians in Macedonia have the highest primary NAR, 97.8 percent. By contrast, Roma have the lowest NAR, 61.1 percent. In other words, only 6 of 10 Roma children of primary school age are attending primary school. With these values, the primary school parity index for Macedonia can be calculated as follows:

Primary school parity index	= Lowest primary NAR / Highest primary NAR
	= Primary NAR of Roma / Primary NAR of Albanians
	= 61.1 / 97.8
	= 0.62

The value 0.62 means that the attendance rate of the most disadvantaged group, Roma, is 62 percent of the attendance rate of the least disadvantaged group, Albanians. In other words, the primary NAR of Roma is 38 percent below the primary NAR of ethnic Albanians. 38 percent is not the absolute but the relative difference in school attendance because the education parity index is a relative measure of disparity.

Applying the same formula to primary NAR values from other MICS surveys yields the values in Figure 1, which shows the parity index for primary school attendance by ethnicity, language or religion. In the 17 countries with data, the parity index ranges from a high of 0.99 in Guyana to a low of 0.59 in the Lao People's Democratic Republic. In Laos, speakers of the Lao language are significantly more likely to attend primary school than speakers of other languages, whose primary school NAR is 41 percent below the NAR of Lao speakers. Similar disparities exist in Togo, where members of the Para-Gourma ethnic group have a much lower primary school attendance rate than members of the Akposso-Akébou group, and in Macedonia.

Uzbekistan and Viet Nam are characterized by the near absence of disparities in primary school attendance between different ethnic, linguistic or religious groups, similar to Guyana. In these countries, the primary NAR of the group with the lowest attendance rate is only 1 or 2 percent below the primary NAR of the group with the highest attendance rate.

Figure 1: Primary school parity index: School attendance by ethnicity, language or religion

Data source: MICS 2005-2006.

The primary school net attendance rates used to calculate the parity index are listed in Table 2. The table also shows whether ethnicity, language or religion were chosen to identify minorities in a country. This choice was made by the national agencies that implemented the survey. Eight countries selected ethnicity, seven countries selected language, and two countries selected religion as the characteristic that best captures minority status.

Table 2: Disparities in primary school attendance by ethnicity, language or religion

Country	Year	Characteristic	Primary NAR (%)		Parity index
			Min.	Max.
Albania	2005	Religion	91.3	94.9	0.96
Belize	2006	Language	86.6	100	0.87
Gambia	2006	Ethnicity	53.2	72.9	0.73
Georgia	2005	Ethnicity	86.9	97.5	0.89
Guinea-Bissau	2006	Language	44.9	64.7	0.69
Guyana	2006	Ethnicity	95.7	96.8	0.99
Kazakhstan	2006	Language	95.4	98.9	0.96
Kyrgyzstan	2006	Language	86.7	95.4	0.91
Lao PDR	2006	Language	52.4	88.7	0.59
Macedonia	2005	Ethnicity	61.1	97.8	0.62
Montenegro	2005	Ethnicity	69.4	100	0.69
Serbia	2005	Ethnicity	77.9	100	0.78
Sierra Leone	2005	Religion	68.3	72.3	0.94
Thailand	2005-06	Language	94.8	98.2	0.97
Togo	2006	Ethnicity	55.2	91.1	0.61
Uzbekistan	2006	Language	94.9	96.8	0.98
Viet Nam	2006	Ethnicity	93.8	95.7	0.98

Data source: MICS 2005-2006.

References

• Huebler, Friedrich. 2008. Beyond gender: Measuring disparity in South Asia using an education parity index. Kathmandu: UNICEF.
• Minority Rights Group International (MRG). 2009. Who are minorities?
• United Nations Children's Fund (UNICEF). 2006. Multiple Indicator Cluster Survey manual 2005: Monitoring the situation of women and children. New York: UNICEF.
  

Data source

• Multiple Indicator Cluster Surveys (MICS), 2005-2006.

Related articles

• Disparities in secondary school attendance by ethnicity, language or religion
• Caste, ethnicity, and school attendance in Nepal
• Education disparity in South Asia
• Education disparity trends in South Asia

External links

• United Nations Forum on Minority Issues
• Minority Rights Group International (MRG)
• Multiple Indicator Cluster Surveys (MICS)
• UNICEF

Friedrich Huebler, 1 March 2009 (edited 15 March 2009), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2009/03/elr.html

Educational attainment in Brazil since 1920

Brazil is likely to reach the Millennium Development Goal of universal primary education by 2015. According to the UNESCO Institute for Statistics (UIS), 94 percent of all children of primary school age (7 to 10 years) were enrolled in primary school in 2005. Data from the 2006 National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios, PNAD), analyzed in an article on school attendance in Brazil, show that 99 percent of all children between 7 and 10 years were in pre-primary, primary or secondary education.

PNAD data can also be used to demonstrate how the education system in Brazil has expanded over the past decades. The PNAD survey collected information on the highest level of education attended for all persons in the sample. By comparing the highest level of education of persons born in different years it is possible to show the change in school attendance patterns over time. The following graph displays the highest level of education for persons born between 1920 and 2000. Household members born in 2000 were 5 or 6 years old at the time of the survey in 2006.

Highest level of education attended by year of birth, Brazil 1920-2000

Data source: Brazil National Household Sample Survey (PNAD), 2006.

Only 59 percent of all Brazilians born in 1920 ever attended school, and three out of four persons who attended school never went beyond primary education. Primary, secondary and tertiary school attendance rates increased steadily over the following decades. By the 1960s, nine out of ten Brazilians were able to receive a formal education. 91 percent of all persons born in 1960 attended at least primary school, 58 percent in this age group attended at least secondary school, and 14 percent went to a university.

The expansion of the primary education system began to slow down in the 1960s, after it had already reached a high level of coverage, but secondary school attendance rates continued to grow at a rapid pace. Among persons born in 1990, 98 percent attended primary school and 90 percent attended secondary school. Among persons born in 1994, 99 percent attended primary school. The peak value for participation in secondary education is 91 percent for persons born in 1988.

Fewer Brazilians have tertiary education, but almost one fifth of the population born around 1980 had attended a university or other institution of higher education by the time the PNAD survey was conducted in 2006. The peak value for participation in tertiary education is 19 percent for persons born in 1981.

Data sources

• Brazilian Institute of Geography and Statistics (IBGE), National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios, PNAD), 2006
• UNESCO Institute for Statistics (UIS), Data Centre, January 2009

Related articles

• School attendance in Brazil
• Educational attainment in India, 1950-2000
• Educational attainment in sub-Saharan Africa
• Trends in primary school enrollment, 1970-2004
• Universal primary education by 2015: A goal out of reach?
• UN Millennium Development Goals Report 2008
• Official MDG targets and indicators

External links

• UN Millennium Development Goals (MDGs)
• MDG 2: Universal primary education

Friedrich Huebler, 24 January 2009, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2009/01/brazil.html

Multiple Indicator Cluster Survey blog

The Multiple Indicator Cluster Surveys (MICS) are household surveys carried out in developing countries with the support of UNICEF to collect data on the situation of children and women. The most recent round of MICS surveys was conducted between 2005 and 2007 in more than 40 countries. MICS data and documentation are available at the Childinfo website of UNICEF.

MICS surveys are among the sources of data analyzed on this site. MICS data were used in articles on trends in primary education in Nepal, children out of school in India, child labor and school attendance in Bolivia, education disparity trends in South Asia, global data on child labor and school attendance, household wealth and years of education, the link between years of schooling and literacy, and other studies.

UNICEF staff members working on the MICS have launched a new blog at globalmics.blogspot.com. The goal of the blog is "to facilitate information sharing between different organizations and individuals involved with MICS implementation around the world" and "to play the role of an unofficial, informal forum to share information on MICS activities." Articles posted since the launch have treated a variety of topics, among them acronyms and abbreviations related to MICS, members of the global MICS team, and the evaluation of the latest round of MICS.

External links

• MICS For All: A Blog Site for Multiple Indicator Cluster Surveys
• Childinfo: Monitoring the Situation of Children and Women (UNICEF)

Related articles

• Nepal: trends in primary education, 1980-2004
• India has 21 million children out of school
• Child labor and school attendance in Bolivia
• Education disparity trends in South Asia
• Child labor and school attendance
• Household wealth and years of education
• Years of schooling and literacy: Can everyone with primary education read and write?

Friedrich Huebler, 23 November 2008, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/11/mics.html

School attendance in Brazil

Brazil is the largest and most populous country in South America. The Brazilian Institute of Geography and Statistics (IBGE) estimates that the population of Brazil grew to 190 million in 2008. The World Bank ranks Brazil as the world's tenth largest economy with a gross domestic product (GDP) of $1.3 trillion in 2007.

Brazil has achieved high levels of school attendance and literacy. The UNESCO Institute for Statistics (UIS) estimates that 94 percent of all children of primary school age were enrolled in primary school in 2005, the latest year with data. The youth literacy rate, for persons aged 15 to 24 years, was 99 percent in 2007 according to the UIS. Among the adult population aged 15 years and older, 91 percent were literate in 2007. In contrast, in 1980 only 75 percent of the adult population of Brazil could read and write.

The patterns of school attendance in Brazil can be studied in greater detail with data from the 2006 National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios, PNAD). The survey collected data on current and past school attendance for all household members, regardless of age. For the analysis that follows, the levels of education in the PNAD data were recoded to match the International Standard Classification of Education (ISCED) of 1997. Five levels of education are identified:

• Pre-primary education
• Primary education
• Secondary education
• Tertiary education
• Adult literacy programs

Adult literacy programs are not part of the ISCED classification but they play an important role in Brazil and are therefore included as a separate group. The graph below illustrates current school attendance by age and level of education for the population aged 0 to 30 years. The number at the top of each bar is the percent of persons of a particular age that are currently in school. For example, 97 percent of all 7-year-olds were in school at the time of the survey; the majority attended primary school but more than 10 percent of all 7-year-olds were still in preschool.

The official school ages in Brazil are indicated along the horizontal axis. The official entrance age for pre-primary education is 4 years, primary education begins at 7 years, and secondary education at 11 years. Education is compulsory for all children aged 7 to 14 years.

Brazil: Current school attendance by age and level of education, 2006

Data source: Brazil National Household Sample Survey (PNAD), 2006.

The PNAD data show that many young children in Brazil attend pre-primary education. Two thirds of all children between 4 and 6 years are in preschool or day care. The laws on compulsory education have the desired effect and almost all children between 7 and 14 years are in fact in school. The attendance rates in this age group range from 94 percent among 14-year-olds to 99 percent among 8- to 11-year-olds. Among children of secondary school age, the attendance rate drops steadily from 99 percent at age 11 to 74 percent at age 17. About 8 percent of 18-year-olds are in tertiary education. University attendance rates reach a peak of 15 percent among 20- to 22-year-olds.

Overage school attendance is relatively common in Brazil and many children older than 10 years are still in primary school. Persons up to and beyond age 30 attend secondary education. These high levels of primary and secondary school attendance among the older population are partly a result of a system of education that offers persons who dropped out of school an opportunity to continue their education later in life. Adult literacy programs reach a relatively small part of the population but they contribute to the high level of literacy in Brazil. About 0.5 to 1 percent of the population between 30 and 75 years participate in programs that teach reading and writing.

Data sources

• Brazilian Institute of Geography and Statistics (IBGE), National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios, PNAD), 2006
• Brazilian Institute of Geography and Statistics (IBGE), population clock, November 2008
• World Bank, quick reference tables, GDP 2007, September 2008
• UNESCO Institute for Statistics (UIS), Data Centre, November 2008

Related articles

• Educational attainment in Brazil since 1920
• Adult literacy in 2007
• Youth literacy rates

External links

• International Standard Classification of Education (ISCED), 1997

Friedrich Huebler, 8 November 2008 (edited 24 January 2009), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/11/brazil.html