Showing posts with label gender. Show all posts
Showing posts with label gender. Show all posts

Saturday, March 31, 2012

World Atlas of Gender Equality in Education

Cover of the UNESCO gender atlasUNESCO and the UNESCO Institute for Statistics (UIS) have published a new World Atlas of Gender Equality in Education that illustrates the participation of girls and boys in pre-primary, primary, secondary, and tertiary education. The data show that there has been significant progress towards gender parity since the 1970s. Two thirds of all countries have reached gender parity in primary education but at the secondary level of education girls are still lagging behind. In some countries, girls have the advantage with regard to access to and completion of education. At the tertiary level, female students outnumber male students in many high-income countries.

The atlas is divided into eight chapters that contain a total of 28 maps and close to 100 charts and tables:

  1. Increased worldwide demand for quality schooling
  2. Girls’ right to education
  3. Enrolment and gender trends: primary education
  4. Enrolment and gender trends: secondary education
  5. Enrolment and gender trends: tertiary education
  6. Trends in school-life expectancy
  7. Gender trends: adult and youth literacy
  8. How policies affect gender equality in education
An excerpt from Chapter 7 on literacy is shown below. The map (please click the image for a larger view) visualizes adult literacy rates from the database of the UNESCO Institute for Statistics. Among countries with data, literacy rates are lowest in sub-Saharan Africa and South Asia. The highest adult literacy rates are observed in Eastern Europe and Central Asia. For many developed countries, the adult literacy rate is unknown because these countries have achieved universal primary education and no longer report data on the traditional literate-illiterate dichotomy, focusing instead on the more narrowly defined concept of functional literacy.

The atlas is available in English, French and Spanish. In addition, UNESCO and UIS plan to launch an online e-atlas with interactive maps.

Excerpt from World Atlas of Gender Equality in Education: Map with adult literacy rates
World map with adult literacy rates
Source: UNESCO, 2012, World Atlas of Gender Equality in Education, pages 92-93. - Click image to enlarge.

Reference

External links
Related articles
Friedrich Huebler, 31 March 2012, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2012/03/atlas.html

Sunday, September 19, 2010

Global Education Digest 2010

Cover of the Global Education Digest 2010On 17 September, the UNESCO Institute for Statistics (UIS) announced the publication of the Global Education Digest 2010. This year's edition of the GED focuses on gender and education.

The Millennium Development Goals (MDGs) call for the elimination of gender disparity at all levels of education by 2015 but according to the GED, only 85 of 157 countries with data will have reached gender parity in primary and secondary education by 2015, if current trends continue. 23 countries are unlikely to reach the goal at the primary level and 63 countries are unlikely to do so at the secondary level.

Gender disparities in access to education are greatest in sub-Saharan Africa, South and West Asia, and to a lesser extent in the Arab States. In these regions, fewer girls than boys are enrolled in primary, secondary and tertiary education. The opposite - gender disparity in favor of girls - can be observed in tertiary education in Central and Eastern Europe, Central Asia, Latin America and the Caribbean, and North America and Western Europe.

Other topics discussed in the Global Education Digest 2010 include: the differences between boys and girls in terms of progression through and completion of primary and secondary education; the interaction between gender, socio-economic status, geographic location, ethnicity and other factors as determinants of participation in education; differences in learning achievement of boys and girls; trends in adult literacy; women's choice of field of study at the tertiary level of education; and national education policies.

The statistical tables in the GED were updated with data up to 2008 for most indicators. All data are also available at the UIS Data Centre.

Reference
  • UNESCO Institute for Statistics (UIS). 2010. Global education digest 2010: Comparing education statistics across the world. Montreal: UIS. (Download in PDF format, 8 MB)
External links
Related articles
Friedrich Huebler, 19 September 2010 (edited 20 September 2010), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2010/09/ged.html

Tuesday, September 7, 2010

Trends in adult literacy, 1990-2008

8 September is International Literacy Day, which was first celebrated in 1966. New estimates of adult and youth literacy by the UNESCO Institute for Statistics (UIS) show that the percentage of literate persons continues to grow worldwide. Even so, in 2008, 796 million adults aged 15 years or older - 17% of all adults worldwide - still lacked basic reading and writing skills and 64% of them were women (see UIS fact sheet on adult and youth literacy). By comparison, 24% of all adults were illiterate in 1990.

Figure 1 displays how the adult literacy rate and the associated gender parity index (GPI) have evolved between 1990 and 2008 for the 10 Millennium Development Goal regions and for the world as a whole. The gender parity index is the ratio of the female over the male literacy rate. For example, the female and male literacy rate in 2008 - 78.9% and 88.2%, respectively - yield a GPI of 0.9 (see Table 1). A GPI between 0.97 and 1.03 is usually considered gender parity. At GPI values below 1, women are disadvantaged and at GPI values above 1, men are disadvantaged. If a country or region reaches universal literacy, with male and female literacy rates of 100%, the GPI must be 1 by definition. This can be seen in the developed regions and in the countries of the Commonwealth of Independent States (CIS), both of which are near universal literacy with a GPI of 1.

Figure 1: Adult literacy rate and gender parity, 1990-2008
Graph with trends in adult literacy and gender parity from 1990 to 2008
Data source: UNESCO Institute for Statistics, Data Centre, September 2010.

At the global level, both the adult literacy rate and gender parity improved over the past 20 years. The literacy rate grew from 76% in 1990 to 83% in 2008 and the GPI from 0.84 to 0.90 (see Table 1). Progress was especially strong in Northern Africa, where the adult literacy rate increased by 20%, and in Eastern and Southern Asia, which saw an increase of 15%. In Northern Africa and Southern Asia less than half of all adults were literate in 1990, less than in any other region. In 2008, the lowest literacy rates were observed in Southern Asia and sub-Saharan Africa, with 62% and 63%, respectively. However, even sub-Saharan Africa managed to increase the share of adults with basic reading and writing skills by 9% between 1990 and 2008. In the remaining regions, the increase in the adult literacy rate over the past two decades was as follows: Western Asia 11%; South-Eastern Asia, and Latin America and the Caribbean 7%; Oceania 4%; CIS 1%; and the developed regions 0.3%. The rate of increase in the developed regions and in the CIS countries was neglible because both regions had already reached near-universal adult literacy in 1990. Literacy rates are also high in Eastern Asia, South-Eastern Asia, and Latin America and the Caribbean; in all three regions more than 9 out of 10 adults are able to read and write.

Gender parity also improved in all MDG regions, with Northern Africa again showing the biggest increase, from 0.57 in 1990 to 0.76 in 2008, followed by Eastern Asia and Southern Asia, where the GPI increased by 0.14 over the same period. In spite of this increase, Southern Asia continues to exhibit relatively high gender disparity in adult literacy, with a GPI of 0.70. The UIS reports similar disparities for sub-Saharan Africa (0.75) and Northern Africa (0.76). In the other regions the GPI for adult literacy was as follows in 2008: Western Asia 0.84, Oceania 0.89, Eastern Asia 0.94, South-Eastern Asia 0.95, and CIS and the developed regions 1.00.

Table 1: Adult literacy rate and gender parity, 1990-2008
MDG region Year Adult literacy rate (%)
Total Male Female GPI
Developed regions 1990 98.7 99.0 98.4 0.99

2008 99.0 99.2 98.9 1.00
Commonwealth of Independent States 1990 98.1 99.4 97.1 0.98

2008 99.5 99.7 99.4 1.00
Eastern Asia 1990 78.9 87.7 69.7 0.80

2008 93.8 96.8 90.7 0.94
South-Eastern Asia 1990 84.8 90.0 80.0 0.89

2008 91.9 94.5 89.5 0.95
Southern Asia 1990 47.3 60.1 33.5 0.56

2008 61.9 73.2 50.9 0.70
Western Asia 1990 73.8 84.2 62.6 0.74

2008 84.5 91.5 76.9 0.84
Northern Africa 1990 47.8 60.8 34.6 0.57

2008 67.3 76.7 58.1 0.76
Sub-Saharan Africa 1990 53.1 63.7 43.1 0.68

2008 62.5 71.6 53.6 0.75
Latin America and the Caribbean 1990 84.4 85.9 82.8 0.96

2008 91.0 91.9 90.3 0.98
Oceania 1990 62.9 68.9 56.5 0.82

2008 66.4 70.2 62.6 0.89
World 1990 75.7 82.2 69.2 0.84

2008 83.4 88.2 78.9 0.90
Data source: UNESCO Institute for Statistics, Data Centre, September 2010.

National and regional literacy rates can be obtained from the UIS Data Centre. From the main Data Centre page at stats.uis.unesco.org, click on Predefined Tables and then Literacy. National literacy rates are available for the years 1975 to 2008. Regional and global literacy rates are presented by census decade, from 1985-1994 to 2005-2008.

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Friedrich Huebler, 8 September 2010, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2010/09/lit.html

Saturday, October 31, 2009

Regional disparities in school life expectancy

The school life expectancy is the number of years of schooling a child of school entrance age can expect to receive. It is calculated as the sum of age-specific enrollment rates for the specified levels of education. The UNESCO Institute for Statistics (UIS) provides data on the school life expectancy for the following levels of education: pre-primary, primary to secondary, primary to tertiary, and tertiary.

Figure 1 displays the average school life expectancy for primary to secondary education in eight geographic regions - Arab States, Central Asia, Central and Eastern Europe, East Asia and the Pacific, Latin America and the Caribbean, North America and Western Europe, South and West Asia, and Sub-Saharan Africa - and for the world as a whole. For each region, the total, male and female school life expectancy is shown. A high value for this indicator means that school enrollment rates as well as retention rates are high and that children are likely to spend a high number of years in formal education.

The values plotted in Figure 1 are also listed in Table 1. In addition to the school life expectancy in years, Table 1 lists the gender parity index for each region. The GPI is the ratio of the female to male school life expectancy. Values below 1 mean that girls have a lower school life expectancy than boys, while GPI values above 1 mean the opposite. A GPI of 1 indicates gender parity. All data in Figure 1 and Table 1 were obtained from the UIS Data Centre and are for the years 2007 and 2008.

Figure 1: School life expectancy in years, primary to secondary education, 2007/2008
Graph with total, male and female school life expectancy by geographic region
Data source: UNESCO Institute for Statistics, Data Centre, October 2009.

Children in North America and Western Europe have the highest school expectancy. On average, boys and girls alike can expect to spend about 12.3 years in school. In Latin America and the Caribbean, the average school life expectancy is 11.7 years. In three other regions children are also likely to receive more than 10 years of primary and secondary education: Central Asia (10.8 years), Central and Eastern Europe (10.5 years), and East Asia and the Pacific (10.4 years). In Sub-Saharan Africa (8.1 years), South and West Asia (9.1 years), and in the Arab States (9.3 years) the average school life expectancy is lower than in the other regions.

Table 1: School life expectancy in years, primary to secondary education, 2007/2008
Region Total Male Female GPI
Arab States 9.3 9.8 8.8 0.90
Central Asia 10.8 10.9 10.6 0.98
Central and Eastern Europe 10.5 10.6 10.3 0.96
East Asia and the Pacific 10.4 10.3 10.5 1.02
Latin America and the Caribbean 11.7 11.6 11.8 1.02
North America and Western Europe 12.3 12.3 12.3 1.00
South and West Asia 9.1 9.4 8.7 0.92
Sub-Saharan Africa 8.1 8.7 7.6 0.87
World 9.8 10.0 9.5 0.95
Note: GPI is the gender parity index (female / male school life expectancy).
Data source: UNESCO Institute for Statistics, Data Centre, October 2009.

Sub-Saharan Africa, the Arab States, and South and West Asia have not only the lowest school life expectancy, they are also the worst performers in terms of gender parity. As the graph shows, there is a relatively large gap between the male and female school life expectancy in these regions, with GPI values ranging from 0.87 in Sub-Saharan Africa to 0.92 in South and West Asia. On average, girls receive one year less education than boys in these three regions. In Sub-Saharan Africa, the school life expectancy is 7.6 years for girls and 8.7 years for boys.

In the other regions, there is little or no difference between the school life expectancy of boys and girls. In Central and Eastern Europe, the GPI is 0.96, with a school life expectancy of 10.6 years for boys and 10.3 years for girls. North America and Western Europe have reached gender parity. In East Asia and the Pacific, and in Latin America and the Caribbean, the school life expectancy is higher for girls than for boys; in both regions, the GPI is 1.02.

Compared to the beginning of the decade, the school life expectancy has increased in all regions, especially in Sub-Saharan Africa. However, the gap between the best- and worst-performing countries is still large. In addition, gender disparity continues to be a problem, especially in regions where the school life expectancy is low.

Related articles
External links
Friedrich Huebler, 31 October 2009, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2009/10/sle.html

Saturday, November 1, 2008

Education disparity trends in South Asia

An article on education disparity in South Asia described a newly developed Education Parity Index (EPI). This index combines data on primary school attendance, secondary school attendance and the survival rate to the last grade of primary school, disaggregated by gender, area of residence and household wealth. The value of the EPI has a theoretical range of 0 to 1, where 1 indicates absolute parity.

Through a combination of survey data from several years it is possible to analyze trends in disparity as measured by the EPI. For the trend analysis, data from the following South Asian household surveys - mainly Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) - were available.
  • Afghanistan: 2003 MICS
  • Bangladesh: 1999-2000 DHS, 2004 DHS, 2006 DHS
  • India: 1998-99 DHS, 2000 MICS, 2005-06 DHS
  • Nepal: 1996 DHS, 2000 MICS, 2001 DHS, 2006 DHS
  • Pakistan: 2000-01 survey, 2006-07 DHS
The graph below plots the EPI values calculated from each survey. Due to a lack of data, no trends can be shown for Afghanistan.

Education disparity trends in South Asia, 1996-2007
Trend lines with Education Parity Index values between 1996 and 2007
Data source: Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), 1996-2007.

In Bangladesh, India and Nepal, the EPI has increased from the earliest to the latest year with data, indicating a decrease in disparity over the period of observation. In Bangladesh, the EPI grew from 0.79 in 2000 to 0.84 in 2006. In India, the EPI was at 0.77 in 1999 and 0.82 in 2006. In Nepal, the EPI shows the biggest increase, from 0.67 in 1996 to 0.83 in 2006, interrupted by a decrease from 2000 to 2001. Compared to the other countries, Nepal has thus made the most progress toward parity in the education system.

For Pakistan, the EPI has decreased from 2000 to 2007, indicating an increase in disparity. However, an inspection of the underlying data reveals that the earlier survey did not provide data on household wealth. Disparities related to wealth are usually greater than disparities related to gender or area of residence. If data on wealth had been available, the EPI for 2000 would most likely have been lower. The data from the 2006-07 DHS confirm this assumption. Children from the poorest quintile have much lower attendance and survival rates than children from the richest quintile, and the disparity between these two groups of children is much greater than the disparity between boys and girls and between children from urban and rural households. For example, the primary school net attendance rate (NAR) in Pakistan is 46 percent among children from the poorest household quintile but twice as high, 93 percent, among children from the richest quintile. In comparison, the primary NAR is 76 percent for boys, 67 percent for girls, 82 percent for urban children, and 67 percent for rural children according to the 2006-07 DHS.

The data gaps in the graph bring to attention one limitation of the EPI. The net enrollment rate and other data published annually by UNESCO in the Global Education Digest or the Education For All Global Monitoring Report are not disaggregated beyond gender and can therefore not be used to calculate the EPI. On the other hand, national household survey data, which permit the required level of disaggregation, are not collected every year but only every four or five years, on average.

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Friedrich Huebler, 1 November 2008 (edited 22 November 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/11/south-asia.html

Sunday, October 12, 2008

Education disparity in South Asia

Cover of "Beyond gender: Measuring disparity in South Asia using an education parity index" by Friedrich HueblerA new publication by Friedrich Huebler describes education disparity in the countries of South Asia. The report Beyond gender: Measuring disparity in South Asia using an education parity index was published by the UNICEF regional office for South Asia in its series of papers on girls' education.

Analysis of disparities in national education systems is often limited to gender although other dimensions of disparity are also important. The publication presents data on disparity in primary and secondary education by gender, area of residence and household wealth for countries in South Asia.

To facilitate the interpretation of complex data a newly developed Education Parity Index is introduced. The EPI combines information on disparities across different education indicators and across different groups of disaggregation. This distinguishes the EPI from existing indicators of disparity in education, including the gender parity index and the EFA development index. The EPI is flexible and can be modified according to national priorities, for example by including information on disparities between different ethnic groups.

The use of the EPI as a tool to assess education disparities is illustrated with household survey data from Afghanistan, Bangladesh, India, Nepal and Pakistan. For each country, the report describes how the EPI is calculated. In addition, national trends in education disparity from 1996 to 2006 are presented.

References
  • Huebler, Friedrich. 2008. Beyond gender: Measuring disparity in South Asia using an education parity index. Kathmandu: UNICEF. (Download PDF document, 194 KB)
External links
Related articles
Friedrich Huebler, 12 October 2008 (edited 30 January 2009), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/10/epi.html

Sunday, September 7, 2008

Child labor: economic activity and household chores

Child labor is one of the obstacles on the way to the Millennium Development Goal of universal primary education by 2015. In a report on global child labor trends, the International Labour Organization (ILO) estimates that there are 218 million child laborers worldwide. 126 million of these children are estimated to be engaged in hazardous work (ILO 2006). The concept of child labor used by the ILO is derived from two conventions: ILO Convention 138, which sets 15 years as the general minimum age for employment, and ILO Convention 182 on the worst forms of child labor. Any work in violation of Conventions 138 and 182 is considered illegal child labor that should be eliminated.

One limitation of statistics like those published by the ILO is that they only refer to economic activity, that is work related to the production of goods and services, as defined in the United Nations System of National Accounts (UNSD 2001). This definition excludes chores undertaken in a person's own household like cooking, cleaning or caring for children.

Statistics of child labor that ignore household chores are problematic because they underestimate the burden of work on children, especially for girls. To examine the relative burden of economic activities and household chores carried out by children, data from 35 household surveys were analyzed for this article. Grouped by Millennium Development Region, these surveys are:
  • Developed countries: Albania.
  • Eastern Asia: Mongolia.
  • South-eastern Asia: Lao PDR, Philippines.
  • Southern Asia: India.
  • Western Asia: Bahrain, Lebanon, Palestinians in Syria.
  • Sub-Saharan Africa: Angola, Burundi, Central African Republic, Chad, Comoros, Congo, Côte d'Ivoire, Democratic Republic of the Congo, Gambia, Guinea, Guinea-Bissau, Kenya, Lesotho, Malawi, Mali, Niger, Senegal, Sierra Leone, Somalia, Swaziland, Tanzania, Uganda.
  • Latin America and the Caribbean: Bolivia, Colombia, Dominican Republic, Nicaragua, Trinidad and Tobago.
The surveys were conducted between 1999 and 2005. 26 of the surveys were Multiple Indicator Cluster Surveys (MICS) and 9 were Demographic and Health Surveys (DHS). All 35 surveys collected data on work by children in the week preceding the survey. Surveys conducted during school vacation were excluded because the focus of the present analysis is work by children that should have been in school at the time of the survey.

The share of children aged 7 to 14 years in economic activity and household chores is depicted in the following graph. The graph also displays the number of hours spent per week on both types of work. All numbers are averages across the 35 surveys, weighted by each country's population between 7 and 14 years.

Economic activity and household chores, children 7-14 years
Graph showing the link between household wealth and average years of education
Data source: 35 DHS and MICS surveys, 1999-2005.

The results confirm that boys are more likely to be engaged in economic activity while girls are more likely to do household chores. On average across the 35 surveys, 22 percent of all boys and 19 percent of all girls between 7 and 14 years are engaged in economic activity. Boys also spend more hours on economic activity than girls, 20 compared to 19 hours. By comparison, girls are much more likely than boys to do household chores. 70 percent of all girls and 47 percent of all boys did household chores in the week preceding the survey. On average, girls spent 13 hours and boys 10 hours per week on household chores.

What are the implications of these findings for statistics of child labor, as currently defined by the ILO? Take the case of two families that need additional income to provide food for everyone in the household. In the first family, a 10-year-old boy is withdrawn from school and put to work on a farm. Because such work is considered economic activity the number of child laborers goes up. In the second family, the mother decides to start working on a farm and her 10-year-old daughter is asked to stay at home to care for her younger siblings. Because the girl is engaged in household chores the number of child laborers does not change. The consequences are the same for both children: they no longer go to school and miss out on the benefits from education.

To address the limitations of the ILO's definition of child labor, UNICEF has developed an expanded definition that covers household chores in addition to economic activity. This revised indicator is the basis for the child labor estimates that are reported in publications like Progress for Children (UNICEF 2007a) or The State of the World’s Children (UNICEF 2007b). For children 5 to 17 years of age, UNICEF defines child labor as follows:
  • 5 to 11 years: any economic activity, or 28 hours or more household chores per week;
  • 12 to 14 years: any economic activity (except light work for less than 14 hours per week), or 28 hours or more household chores per week;
  • 15 to 17 years: any hazardous work, including any work for 43 hours or more per week.
The goal of UNICEF's child labor indicator is the measurement of work that should be eliminated because it violates international child labor conventions and interferes with school attendance. The threshold for household chores is set relatively high because it is assumed that household chores are less harmful than economic activity. Moreover, the high threshold of 28 hours household chores per week avoids a possible overestimation of the number of child laborers.

References
  • International Labour Organization (ILO). 2006. Global child labour trends 2000-2004. Geneva: ILO. (Download PDF, 640 KB)
  • United Nations Children's Fund (UNICEF). 2007a. Progress for children: A World Fit for Children statistical review. New York: UNICEF. (Download PDF, 3.6 MB)
  • United Nations Children's Fund (UNICEF). 2007b. The state of the world's children 2008: Child survival. New York: UNICEF. (Download PDF, 4.3 MB)
  • United Nations Statistics Division (UNSD). 2001. System of national accounts 1993. http://unstats.un.org/unsd/sna1993/toctop.asp.
Related articles
External links
Friedrich Huebler, 7 September 2008 (edited 5 October 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/09/child-labor.html

Saturday, May 10, 2008

Adult literacy in sub-Saharan Africa

Literacy data published by the UNESCO Institute for Statistics (UIS) in 2007 shows that the lowest adult literacy rates are observed in Africa and South Asia. In some countries, fewer than three out of ten adults can read and write. UIS provides national literacy data for two age groups: youths aged 15 to 24 years, and adults aged 15 years and older. A more detailed analysis of literacy is possible with data from household surveys.

Most Demographic and Health Surveys (DHS) collect data on literacy for persons between 15 and 49 years. For male household members, literacy data is sometimes collected up to an age of 54, 59, or 64 years. To assess the degree of literacy, respondents to the survey are asked to read a card with a simple sentence. If a respondent can read the whole sentence, he or she is counted as literate, in accordance with UNESCO's definition of literacy as "the ability to read and write, with understanding, a short simple sentence about one’s everyday life". Recent Multiple Indicator Cluster Surveys (MICS) by UNICEF collect data on literacy with the same method, but only for female household members between 15 and 49 years. MICS surveys are therefore not covered by the analysis that follows.

This article examines data from eight DHS surveys that were carried out in sub-Saharan Africa between 2003 and 2006. The survey data is from Benin (2006), Burkina Faso (2003), Cameroon (2004), Lesotho (2004-05), Niger (2006), Nigeria (2003), Uganda (2006), and Zimbabwe (2005-06). The data can be used to calculate overall literacy rates and also to examine trends over time by comparing literacy rates in different age groups.

The following table lists literacy rates for the male, female, and total population between 15 and 49 years of age. Zimbabwe (85%) and Lesotho (79%) are the countries with the highest literacy rates, followed by Cameroon (63%), Uganda (58%), and Nigeria (55%). In Benin (33%), Burkina Faso (18%), and Niger (13%), adult literacy rates are much lower. In seven of the eight countries there is a large difference between male and female literacy rates. In Benin, Burkina Faso, Cameroon, Niger, Nigeria, and Uganda, more men than women are literate, with a gender gap ranging from 12% to 26%. In Lesotho, the literacy rate of women is 21% greater than the literacy rate of men. In Zimbabwe, the difference between the male and female literacy rate is only 6%.

Adult literacy rate (%), population 15-49 years
Country
Male Female Total
Benin 45.1 21.8 32.6
Burkina Faso 24.3 11.9 17.6
Cameroon 70.6 54.8 62.5
Lesotho 68.8 90.1 79.4
Niger 20.9 7.5 13.2
Nigeria 68.4 42.8 54.9
Uganda 68.6 48.9 58.4
Zimbabwe 87.9 81.5 84.5
Source: Demographic and Health Surveys 2003-2006

For the graph below, the survey respondents were divided into five-year age groups. In all countries, literacy rates among the younger population are higher than among the older population. The literacy rate of the youngest group, 15 to 19 years, can be interpreted as a measure of the coverage and quality of the primary school system during the 1990s, when the members of this age group were of primary school age.

In Burkina Faso, Cameroon, Lesotho, Niger, and Uganda, the difference between the literacy rates of 15- to 19-year-olds and 45- to 49-year-olds ranges from 13% to 18%. These numbers indicate a relatively modest expansion of the education system between the 1960s, when the older age group was of primary school age, and the 1990s. In contrast, in Benin, Nigeria, and Zimbabwe, the difference between the literacy rates of 15- to 19-year-olds and 45- to 49-year-olds ranges from 27% to 32%. These three countries were thus more successful in their efforts to increase the number of literate citizens than the other five countries.

In Burkina Faso and Niger, less than one quarter of the population between 15 and 19 years can read and write. However, the case of Benin shows that a large increase in literacy can be achieved within only ten years. In Benin, only 24% of 25- to 29-year-olds are literate but among 15- to 19-years-olds the literacy rate has grown to 53%.

Adult literacy by five-year age group
Graph with adult literacy rates by age in sub-Saharan Africa
Source: Demographic and Health Surveys 2003-2006

Related articles

External links

Friedrich Huebler, 10 May 2008, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/05/literacy.html

Saturday, April 5, 2008

Adult literacy in Nigeria

The adult literacy rate is the share of literate persons in the population aged 15 years and older. In Nigeria, a Demographic and Health Survey (DHS) collected data on literacy that can be disaggregated by age, gender, area of residence, and other characteristics. In the survey, conducted in 2003, literacy is defined as the ability to "read and write in any language with understanding" (NPC and ORC Macro 2004: 247). To collect this data, respondents were only asked whether they are literate, but no reading or writing tests were applied. A smaller group of respondents, all women aged 15-49 years and one third of men aged 15-59 years, were asked to read a simple sentence in any of the major language groups of Nigeria (NPC and ORC Macro 2004: 26-27). The literacy rates obtained from this separate reading test were not considered for the analysis that follows, but they are lower than the self-reported literacy rates that cover all survey respondents aged 5 years and older. A separate article on this site describes the difference between self-reported and tested literacy in Nigeria in more detail.

In Nigeria, 55% of the population aged 15 years and older can read and write according to the findings of the DHS. More men (67%) than women (44%) are literate, and the literacy rate is higher in urban (71%) than in rural areas (47%).

Adult literacy rate in Nigeria, 2003
Category
Literacy rate (%)
Male 67.3
Female 43.7
Urban 70.9
Rural 46.8
Total 55.3
Source: Nigeria Demographic and Health Survey 2003

Although almost half of all adult Nigerians cannot read and write, analysis of the survey data by age reveals a steady increase in literacy over the years. Today, more children go to school and learn to read and write than in previous decades. As a result, younger persons are much more likely to be literate than older persons. For the graph below, the survey respondents were divided into 5-year age groups. Among persons aged 15 to 19 years - those who were of primary school age in the 1990s - the literacy rate is 70%. Among persons 80 years or older, only 13% are literate.

A similar rate of increase in the literacy rate can be observed for men, women, urban residents, and rural residents. Among women 80 years or older, only 3% can read and write, compared to 23% of all men in the same age group. Among 15- to 19-year-olds, the female literacy rate is 63% and the male literacy rate 79%. While literacy rates have increased steadily for men and women, there continues to be a large gender gap. A similar gap exists between residents of urban and rural areas.

Adult literacy rate in Nigeria by age, gender and area of residence, 2003
Graph with literacy rates by age, gender and area of residence, Nigeria 2003
Source: Nigeria Demographic and Health Survey 2003

References
  • National Population Commission (NPC) [Nigeria] and ORC Macro. 2004. Nigeria Demographic and Health Survey 2003. Calverton, Maryland: National Population Commission and ORC Macro. (Download report, PDF format, 4 MB)
Related articles

External links

Friedrich Huebler, 5 April 2008 (edited 13 April 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/04/adult-literacy-in-nigeria.html

Sunday, January 20, 2008

Secondary school attendance in India in 2006

In India, 83 percent of all children of primary school age (6-10 years) attend primary school, as described in a previous article on this site. Primary school net attendance rates (NAR) are highest in urban areas and among children from the richest households.

Fewer children continue their education at the secondary level. Data from a nationally representative Demographic and Health Survey (called National Family Health Survey in India) conducted in 2005 and 2006 shows that only 54 percent of all children of secondary school age (11-17 years) attend secondary school. In addition, there are large disparities between different groups of children, as the graph below demonstrates. Boys and children from urban areas are more likely to be in secondary school than girls and children from rural areas.

Secondary school net attendance rate (NAR), India 2006
Bar graph showing secondary school net attendance rate in India in 2006
Data source: India Demographic and Health Survey 2005-06.

The biggest disparities exist between children from different wealth quintiles. Among children from the richest 20 percent of all households, the secondary NAR is 83 percent, compared to a secondary NAR of only 29 percent among children from the poorest households. The respective primary NAR values are 96 percent for children from the richest quintile and 69 percent for children from the poorest quintile. Children from poor households are not only less likely to enter school than children from wealthier households, they are also far less likely to continue their education after four years of primary school.

References
  • International Institute for Population Sciences (IIPS), and Macro International. 2007a. National Family Health Survey (NFHS-3) 2005-06, India: Volume 1. Mumbai: IIPS. (Download in PDF format, 7.9 MB)
  • International Institute for Population Sciences (IIPS), and Macro International. 2007b. National Family Health Survey (NFHS-3) 2005-06, India: Volume II. Mumbai: IIPS. (Download in PDF format, 4.1 MB)
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External links
Friedrich Huebler, 20 January 2008 (edited 12 October 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2008/01/secondary-school-attendance-in-india-in.html

Saturday, December 15, 2007

UNICEF statistical review: Progress for Children

Cover of "Progress for Children: A World Fit for Children Statistical Review" by UNICEFOn 10 December 2007, UNICEF launched a new publication, Progress for Children: A World Fit for Children Statistical Review. With more than 60 pages of graphs and tables, the report draws a detailed statistical picture of the current state of the world's children. The publication is divided into sections organized by Millennium Development Goal.
  • MDG 1: Eradicate extreme poverty and hunger
  • MDG 2: Achieve universal primary education
  • MDG 3: Promote gender equality and empower women
  • MDG 4: Reduce child mortality
  • MDG 5: Improve maternal health
  • MDG 6: Combat HIV and AIDS, malaria and other diseases
  • MDG 7: Ensure environmental sustainability
An additional section has data on protection against abuse, exploitation, and violence.

Some findings of the report in the area of education are:
  • The number of children out of school has fallen from 115 million in 2002 to 93 million in 2005-2006.
  • More than three quarters of all children out of school worldwide live in Sub-Saharan Africa and South Asia.
  • Secondary school net attendance or enrollment rates are below 50 percent in many countries, including most of Africa.
  • Almost all countries in North and South America, Europe, Central Asia, and East Asia have reached the goal of gender parity in primary education.
  • Few countries have reached gender parity in secondary education.
  • Child labor, which interferes with education, is most prevalent in Sub-Saharan Africa.
Excerpt from Progress for Children: Data on primary and secondary education
Excerpt from "Progress for Children" by UNICEF: data on primary and secondary education
Source: UNICEF 2007: p. 14-15.

References
  • UNICEF. 2007. Progress for Children: A World Fit for Children Statistical Review. New York: UNICEF. (Download in PDF format, 3.6 MB)
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External links
Friedrich Huebler, 15 December 2007, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2007/12/unicef-statistical-review-progress-for.html

Monday, December 3, 2007

EFA Global Monitoring Report 2008

Cover of the Education for All Global Monitoring Report 2008 by UNESCOOn 29 November 2007, UNESCO released the 2008 edition of the annual Education for All Global Monitoring Report, with the title Education for All by 2015: Will we make it? The report, now in its sixth edition, monitors progress towards the six Education for All goals adopted at the World Education Forum in Dakar, Senegal in 2000:
  1. Expand and improve early childhood care and education.
  2. Provide free and compulsory universal primary education by 2015.
  3. Equitable access to learning and life-skills programs.
  4. Achieve a 50% improvement in adult literacy rates.
  5. Eliminate gender disparities in primary and secondary education by 2005 and at all levels by 2015.
  6. Improve all aspects of the quality of education.
Some highlights of the 2008 report are:
  • Between 1999 and 2005, primary school enrollment rose from 647 million to 688 million worldwide. The rate of increase was particularly high in Sub-Saharan Africa and in South and West Asia. As a result, the global number of children out of school fell from 96 million in 1999 to 72 million in 2005.
  • Projections based on current trends show that more than 50 countries will not achieve universal primary education by 2015.
  • One third of all countries missed the goal of gender parity in primary education by 2005. Two thirds of all countries missed the goal of gender parity in secondary education. According to projections, more than 90 countries will not reach gender parity in primary and secondary education by 2015.
  • Fourteen countries abolished primary school fees since 2000 but the cost of schooling remains an obstacle for millions of children.
  • The emphasis by the international community on primary education has come at the expense of early childhood education and literacy programs for youth and adults.
  • One in five adults lacks basic literacy skills. Women account for two thirds of all illiterate adults worldwide. Three quarters of all countries for which projections were calculated will miss the goal of halving adult illiteracy rates by 2015.
The EFA Global Monitoring Report offers a great amount of data and statistical analysis. An annex contains more than 140 pages of statistical tables with national, regional and global data up to the year 2005.

References
  • UNESCO. 2007. Education for all by 2015: Will we make it? - EFA global monitoring report 2008. Paris: UNESCO. (Download in PDF format, 11.8 MB)
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External links
Friedrich Huebler, 3 December 2007 (edited 8 December 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2007/12/efa-global-monitoring-report-2008.html

Monday, November 19, 2007

Primary school attendance in India in 2006

21 million children of primary school age in India were out of school in 2006, more than in any other country. Compared to 2000, the number of children out of school has fallen by 9 million, but the Millennium Development Goal of universal primary education by 2015 can only be met if the increase in primary school attendance accelerates in the coming years.

According to data from a nationally representative Demographic and Health Survey (DHS), the primary school net attendance rate (NAR) in India was 83 percent in 2006. (In India, the DHS is referred to as National Family Health Survey or NFHS.) In other words, more than 8 out of 10 children of primary school age (6-10 years in India) were attending primary school. In 2000, the primary school net attendance rate was 76 percent. Although the attendance rate has increased, there are persistent disparities in the education system of India. The bar graph below displays the primary school NAR by sex, area of residence, and household wealth. 85 percent of all boys and 81 percent of all girls are in school and the country is therefore close to gender parity. On the other hand, there is a larger gap between urban and rural areas. The urban primary NAR is 89 percent and the rural NAR is 82 percent.

Primary school net attendance rate (NAR), India 2006
Bar graph showing primary school net attendance rate in India in 2006
Data source: India Demographic and Health Survey 2005-06

Disaggregation by household wealth reveals even greater disparities. 96 percent of all primary-school-age children from the richest household quintile are in school. With declining household wealth, the share of children in school also falls. In the poorest household quintile, the primary NAR is only 69 percent, almost one third below the NAR in the richest households. As a consequence, children from the poorest households make up almost half of all children out of school in India. An earlier article on this site contains additional data on children out of school in India.

Note on NAR calculation

The official report for the India DHS lists the primary NAR as 71.9 percent (IIPS and Macro International 2007a, Table 2.8, page 31). The primary NAR cited above, 83.3 percent, is higher because of a different calculation method. The DHS report uses the traditional definition of the primary school net attendance rate, which only considers attendance in primary school and ignores attendance at higher levels of education.
  • Primary NAR (traditional definition) = Number of children of primary school age in primary school / Total number of children of primary school age
A joint report by UNESCO and UNICEF, Children out of school: Measuring exclusion from primary education (UNESCO Institute for Statistics 2005), introduced a revised method to calculate the primary NAR. In contrast to the traditional calculation method, school attendance at primary or higher levels of education is considered.
  • Primary NAR (revised definition) = Number of children of primary school age in primary school or higher / Total number of children of primary school age
In countries like India, where a relatively large number of children of primary school age are already in secondary school, the traditional calculation method underestimates the true level of participation in the education system and overestimates the number of children out of school. During an assessment of progress toward universal primary education, the primary NAR published in the final DHS report would lead to the wrong conclusion that almost 30 percent of all children of primary school age are not in school in India. In fact, fewer than 17 percent of all children of primary school age are not in school.

References
  • International Institute for Population Sciences (IIPS), and Macro International. 2007a. National Family Health Survey (NFHS-3) 2005-06, India: Volume 1. Mumbai: IIPS. (Download in PDF format, 7.9 MB)
  • International Institute for Population Sciences (IIPS), and Macro International. 2007b. National Family Health Survey (NFHS-3) 2005-06, India: Volume II. Mumbai: IIPS. (Download in PDF format, 4.1 MB)
  • UNESCO Institute for Statistics (UIS). 2005. Children out of school: Measuring exclusion from primary education. Montreal: UIS. (Download in PDF format, 4.9 MB)
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External links
Friedrich Huebler, 19 November 2007 (edited 12 October 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2007/11/primary-school-attendance-in-india-in.html

Tuesday, November 13, 2007

India has 21 million children out of school

India is the country with the largest number of children out of school. India has more children of school age than China and at the same time relatively low attendance rates, in spite of recent increases in primary and secondary school participation.

Newly released data from a Demographic and Health Survey (DHS) show that the primary school attendance rate has increased by more than one percentage point annually since the beginning of the decade. In 2000, 76 percent of all children of primary school age (6-10 years) were in school. By 2006, this value had increased to 83 percent (see Table 1). The attendance rate of girls increased by 9 percent over the 2000-2006 period and the attendance rate of boys by 6 percent. School attendance rates also grew in urban and rural areas, and across all household wealth quintiles. However, close to 17 percent of all children of primary school age continue to be out of school.

Table 1: Children of primary school age in school (percent), India 2000 and 2006

2000 2006 Change 2000 to 2006
Male 79.2 85.2 5.9
Female 72.3 81.4 9.1
Urban 82.5 88.5 5.9
Rural 73.8 81.5 7.7
Poorest 20% 66.1 69.4 3.2
Second 20% 69.2 81.2 12.1
Middle 20% 78.8 87.5 8.7
Fourth 20% 82.1 92.2 10.1
Richest 20% 89.1 95.7 6.6
Total 75.9 83.3 7.5
Data sources: India Multiple Indicator Cluster Survey (MICS) 2000, India DHS 2005-06.

As a result of the increase in primary school attendance, the number of children out of school fell by almost one third from 30 million in 2000 to 21 million in 2006 (see Table 2). This pattern could be observed for boys and girls, and for residents of urban and rural areas. However, disaggregation by household wealth reveals that one group of children did not follow the nationwide trend. Among the poorest 20 percent of all households, the number of children out of school grew from 9.4 million in 2000 to 9.8 million in 2006. Although the primary school net attendance rate among children from the poorest households grew by 3 percentage points from 2000 to 2006 (see Table 1), this increase was not strong enough to keep pace with population growth in the poorest segment of the Indian population.

Table 2: Children of primary school age out of school (million), India 2000 and 2006

2000 2006 Change 2000 to 2006
Male 13.0 9.5 -3.5
Female 16.4 11.2 -5.2
Urban 5.0 3.7 -1.3
Rural 24.5 17.0 -7.5
Poorest 20% 9.4 9.8 0.5
Second 20% 8.5 5.3 -3.2
Middle 20% 5.2 3.1 -2.1
Fourth 20% 4.3 1.7 -2.6
Richest 20% 2.0 0.8 -1.3
Total 29.5 20.7 -8.7
Data sources: India MICS 2000, India DHS 2005-06.

A comparison of the composition of the total population of primary school age and the population of children out of school shows which group of children are disproportionately more likely to miss out on education. Figure 1 shows the composition of the Indian population aged 6 to 10 years. 52 percent of all children in this age group are boys and 48 percent are girls. About one quarter of all children of primary school age live in urban areas and the remaining three quarters in rural areas.

Wealth quintiles are constructed by ranking the entire population of India, regardless of age, according to household wealth and dividing them into five equally sized groups with 20 percent each of the total population. As Figure 1 shows, households from poorer quintiles are more likely to have children than households from richer quintiles. Overall, 26 percent of all children between 6 and 10 years live in the bottom quintile and a further 23 percent in the second quintile.

Figure 1: Population of primary school age by sex, area of residence, and wealth quintile, India 2006
Pie charts showing composition of population of primary school age, India 2006
Data source: India Demographic and Health Survey 2005-06.

Figure 2: Children of primary school age out of school by sex, area of residence, and wealth quintile, India 2006
Pie charts showing composition of group of children of primary school age out of school, India 2006
Data source: India Demographic and Health Survey 2005-06.

Figure 2 shows the composition of the group of children aged 6 to 10 years that are out of school. Although girls only account for 48 percent of the total number of children in this age group, they make up 54 percent of the children out of school. Rural children are disproportionately more likely to be out of school than urban children. Most strikingly, children from the poorest quintile make up almost half of all children out of school. 48 percent - 10 million of the 21 million children out of school - live in the poorest quintile. 74 percent of all children out of school live in the two poorest quintiles.

These numbers emphasize the close link between poverty and school attendance in India. School attendance rates have increased among the poorest households between 2000 and 2006 but the increase was not large enough to keep pace with population growth. Unless India places more emphasis on school attendance among the poor, the country will miss the Millennium Development Goal of universal primary education by 2015.

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External links
Friedrich Huebler, 13 November 2007 (edited 12 October 2008), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2007/11/india-has-21-million-children-out-of.html