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