Adult and youth literacy in 2011

8 September is International Literacy Day, an occasion to reflect on the status of literacy worldwide. Globally, 84% of all adults 15 years and older were able to read and write in 2011, the most recent year for which the UNESCO Institute for Statistics (UIS) has released data (see Table 1). Two regions, Central and Eastern Europe and Central Asia, are near universal literacy, with adult literacy rates of 99% and 100%, respectively. Literacy rates are assumed to be at a similarly high level in North America and Western Europe but data coverage is insufficient for the calculation of a regional average. Literacy rates are also high in East Asia and the Pacific (95%) and in Latin America and the Caribbean (92%). In the remaining regions, adult literacy rates are below the global average: Arab States (77%), South and West Asia (63%), and sub-Saharan Africa (59%).

Male and female adult literacy rates are at nearly the same levels in three regions: Central and Eastern Europe, Central Asia, and Latin America and the Caribbean (see Table 1). In the Arab States, East Asia and the Pacific, South and West Asia, and sub-Saharan Africa, female literacy rates are lower than male literacy rates. The gender parity index (GPI), the ratio of the female over the male literacy rate, shows that the biggest gender gap exists in South and West Asia (GPI 0.70) and in sub-Saharan Africa (GPI 0.74). Globally, the male literacy rate is 89% and the female literacy rate 80%, which yields a GPI of 0.90, far below the range of gender parity with GPI values between 0.97 and 1.03.

Table 1: Adult and youth literacy rate, 2011
Region Adult literacy rate (%) Youth literacy rate (%)
Total Male Female GPI Total Male Female GPI
Arab States 76.9 84.7 68.4 0.81 89.9 93.2 86.5 0.93
Central and Eastern Europe 98.5 99.3 97.8 0.99 99.3 99.5 99.2 1.00
Central Asia 99.5 99.6 99.4 1.00 99.7 99.6 99.8 1.00
East Asia and the Pacific 94.7 96.9 92.5 0.95 98.9 98.9 98.8 1.00
Latin America and the Caribbean 91.6 92.2 90.9 0.99 97.1 96.8 97.4 1.01
North America and Western Europe - - - - - - - -
South and West Asia 62.8 74.0 51.9 0.70 80.7 86.8 74.9 0.86
Sub-Saharan Africa 59.1 68.1 50.6 0.74 69.5 75.6 63.7 0.84
World 84.1 88.6 79.9 0.90 89.5 92.2 86.8 0.94
Note: GPI = gender parity index.
Source: UNESCO Institute for Statistics, Data Centre, September 2013.

National adult literacy rates are displayed in Figure 1. Countries in sub-Saharan Africa and South and West Asia have generally lower literacy rates than countries in other regions. In 11 countries, nearly all in sub-Saharan Africa, fewer than half of all adults are able to read and write: Benin, Burkina Faso, Chad, Ethiopia, Guinea, Haiti, Liberia, Mali, Niger, Senegal, and Sierra Leone.

Figure 1: Adult literacy rate, 2011

Source: UNESCO Institute for Statistics, Data Centre, September 2013. - Click image to enlarge.

The UIS estimates that the adult illiterate population was 774 million in 2011 (see Table 2). Three out of four illiterate adults live in only two regions: South and West Asia (407 million) and sub-Saharan Africa (182 million). In all regions, the number of illiterate women is larger than the number of illiterate men. Globally, 493 million or two thirds of the adult illiterate population are female.

Table 2: Adult and youth illiterate population, 2011
Region Adult illiterate population (000) Youth illiterate population (000)
Total Male Female % female Total Male Female % female
Arab States 47,603 16,082 31,521 66.2 6,037 2,099 3,938 65.2
Central and Eastern Europe 4,919 1,104 3,815 77.5 386 157 229 59.4
Central Asia 290 108 182 62.7 45 30 14 32.5
East Asia and the Pacific 89,478 26,356 63,122 70.5 4,081 2,005 2,076 50.9
Latin America and the Caribbean 35,614 15,994 19,620 55.1 3,043 1,676 1,367 44.9
North America and Western Europe - - - - - - - -
South and West Asia 407,021 147,352 259,669 63.8 61,778 22,316 39,461 63.9
Sub-Saharan Africa 181,950 70,535 111,414 61.2 47,558 19,196 28,362 59.6
World 773,549 280,366 493,184 63.8 123,198 47,626 75,571 61.3
Source: UNESCO Institute for Statistics, Data Centre, September 2013.

The global youth literacy rate, for the population 15 to 24 years of age, was 90% in 2011 (see Table 1). Youth literacy rates are higher than adult literacy rates in all regions, a result of increased levels of school attendance among younger generations. Of the regions with data, four are near universal youth literacy: Central and Eastern Europe (99%), Central Asia (100%), East Asia and the Pacific (99%), and Latin America and the Caribbean (97%). In the Arab States, the youth literacy rate is 90%. In South and West Asia (81%) and sub-Saharan Africa (70%), the youth literacy rate is below the global average.

Literacy rates among the population 15-24 years are not only higher than among the total population 15 years and older, there is also a smaller gap between the literacy rates of young men and women (see Table 1). However, gender disparity in youth literacy is observed in the Arab States (GPI 0.93), South and West Asia (GPI 0.86), and sub-Saharan Africa (GPI 0.84); in these regions, young women are less likely to be able to read and write than young men. At the global level, the male youth literacy rate is 92% and the female youth literacy rate 87%.

National youth literacy rates are displayed in Figure 2. Sub-Saharan Africa stands out as the one region where youth literacy rates are significantly lower than in other regions. Seven countries have youth literacy rates below 50%: Benin, Burkina Faso, Chad, Guinea, Liberia, Mali, and Niger.

Figure 2: Youth literacy rate, 2011

Source: UNESCO Institute for Statistics, Data Centre, September 2013. - Click image to enlarge.

The youth illiterate population, a subset of the adult illiterate population, was estimated at 123 million in 2011 (see Table 2). Illiterate youth are concentrated in South and West Asia and sub-Saharan Africa; 89% of the global population of illiterate youth live in these two regions. Whereas women are the majority of illiterate adults in all regions, there is no such clear pattern among illiterate youth. In two regions, Central Asia and Latin America and the Caribbean, young men are more likely to lack basic reading and writing skills than young women. Even so, 61% of the global number of illiterate youth are female.

More detailed statistics and analysis are available from the the UNESCO Institute for Statistics, including a page with an interactive world map with adult and youth literacy rates, a fact sheet on adult and youth literacy, an infographic for International Literacy Day 2013, and a report on national, regional and global trends in adult and youth literacy between 1985 and 2015.

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Friedrich Huebler, 8 September 2013, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2013/09/literacy.html

Blog translation

Articles on the International Education Statistics blog can now be translated into more than 60 languages, including Arabic, Chinese, French, Russian and Spanish. To translate an article, select a language from the "Translate" drop-down menu in the sidebar, above the search box.

The translations are provided by Google Translate. They are not always perfect and the formatting of articles is not always preserved. Even so, the translations may be useful for readers who prefer a language other than English.

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Friedrich Huebler, 9 September 2012, Creative Commons License
Permanent URL: http://huebler.blogspot.com/2012/09/translation.html

Guide to creating maps with Stata

Most charts and maps on this site were created with the Stata statistical software package. This guide explains how maps like those with adult and youth literacy rates in 2010 can be created with Stata. The article supersedes an earlier version from 2005 and introduces updated maps with current country borders. For example, South Sudan, which seceded from Sudan in 2011, is shown as a separate country on the new maps. The instructions below are for Stata version 9 or later. Users of Stata 8 are referred to the guide from 2005. The creation of maps is not supported in older versions of Stata.

Requirements

  • Stata version 9.2 or later.
  • spmap: Stata module for drawing thematic maps, by Maurizio Pisati. spmap can be installed in Stata with this command:
      ssc install spmap
  • shp2dta: Stata module for converting shapefiles to Stata format, by Kevin Crow. shp2dta can be installed in Stata with this command:
      ssc install shp2dta
  • Shapefile: A shapefile is a data format for geographic information systems. For the maps in Figures 1 and 2, please download this public domain shapefile from Natural Earth:
    110m-admin-0-countries.zip (158 KB, world map with country borders, scale 1:110,000,000)

Step 1: Convert shapefile to Stata format

  • Unzip 110m-admin-0-countries.zip to a folder that is visible to Stata. The archive contains four files:
    ne_110m_admin_0_countries.dbf
    ne_110m_admin_0_countries.prj
    ne_110m_admin_0_countries.shp
    ne_110m_admin_0_countries.shx
  • Start Stata and run this command:
      shp2dta using ne_110m_admin_0_countries, data(worlddata) coor(worldcoor) genid(id)
  • Two new files will be created: worlddata.dta (with the country names and other information) and worldcoor.dta (with the coordinates of the country boundaries).
  • If you plan to superimpose labels on a map, for example country names, run the following command instead, which adds centroid coordinates to the file worlddata.dta:
      shp2dta using ne_110m_admin_0_countries, data(worlddata) coor(worldcoor) genid(id) genc(c)
  • Please refer to the spmap documentation to learn more about labels.
  • The DBF, PRJ, SHP, and SHX files are no longer needed and can be deleted.

Step 2: Draw map with Stata

  • Open worlddata.dta in Stata.
  • For the example maps, create a variable with the length of each country's name. The Stata command for this is:
      generate length = length(ADMIN)
  • Draw a map that indicates the length of all country names with this command:
      spmap length using worldcoor.dta, id(id)
  • The default map (Figure 1) is grayscale, it shows Antarctica, there are four classes for the length of the country names, the legend is very small, and the legend values are arranged from high to low.

Figure 1: Length of country names (small scale map, default style)

Click image to enlarge.

  • A second map without Antarctica, with a blue palette, five classes, and with a bigger legend with values arranged from low to high (Figure 2) can be drawn with this command:
      spmap length using worldcoor.dta if ADMIN!="Antarctica", id(id) fcolor(Blues) clnumber(5) legend(symy(*2) symx(*2) size(*2)) legorder(lohi)
  • Darker colors on the map indicate longer country names, ranging from 4 (for example Cuba and Fiji) to 35 characters (French Southern and Antarctic Lands).
  • Please read the Stata help file for spmap to learn about the many additional options for customization of maps.

Figure 2: Length of country names (small scale map, blue palette)

Click image to enlarge.

Alternative maps with more detail

The shapefile that was used for Figures 1 and 2 was designed for small maps. It contains the borders for 177 countries and territories and does not include smaller geographic units like Hong Kong, Monaco, or St. Vincent and the Grenadines. As an alternative to the small scale map in Figures 1 and 2, Natural Earth offers shapefiles with more detail that were designed for larger maps.

  • To create the map in Figure 3, download this shapefile from Natural Earth, which has information for 242 countries and territories:
    50m-admin-0-countries.zip (1.3 MB, world map with country borders, scale 1:50,000,000)
  • Unzip 50m-admin-0-countries.zip to a folder that is visible to Stata.
  • Run this Stata command to convert the shapefile to Stata format:
      shp2dta using ne_50m_admin_0_countries, data(worlddata2) coor(worldcoor2) genid(id)
  • If you need Stata files with centroids, run this command instead:
      shp2dta using ne_50m_admin_0_countries, data(worlddata2) coor(worldcoor2) genid(id) genc(c)
  • Open worlddata2.dta in Stata.
  • Create a variable with the length of each country's name:
      generate length = length(ADMIN)
  • Draw the map in Figure 3:
      spmap length using worldcoor2.dta if ADMIN!="Antarctica", id(id) fcolor(Blues) clnumber(5) legend(symy(*2) symx(*2) size(*2)) legorder(lohi)
  • The map takes longer to draw than the map in Figures 1 and 2 because it is more detailed and shows more geographic units. The names of the countries and territories on the map have a length up to 40 characters (South Georgia and South Sandwich Islands).

Figure 3: Length of country names (medium scale map)

Click image to enlarge.

  • To create the map in Figure 4, download this shapefile from Natural Earth, which has information for 253 countries and territories, including small islands like the Ashmore and Cartier Islands:
    10m-admin-0-countries.zip (6.7 MB, world map with country borders, scale 1:10,000,000)
  • Unzip 10m-admin-0-countries.zip to a folder that is visible to Stata.
  • Run this Stata command to convert the shapefile to Stata format:
      shp2dta using ne_10m_admin_0_countries, data(worlddata3) coor(worldcoor3) genid(id)
  • If you need Stata files with centroids, run this command instead:
      shp2dta using ne_10m_admin_0_countries, data(worlddata3) coor(worldcoor3) genid(id) genc(c)
  • Open worlddata3.dta in Stata.
  • Create a variable with the length of each country's name:
      generate length = length(ADMIN)
  • Draw the map in Figure 4:
      spmap length using worldcoor3.dta if ADMIN!="Antarctica", id(id) fcolor(Blues) clnumber(5) legend(symy(*2) symx(*2) size(*2)) legorder(lohi)
  • The map takes longer to draw than the maps in Figures 1, 2 and 3 because it has the largest amount of detail. The differences between the maps in Figures 3 and 4 can be seen by clicking on the images to enlarge them. Figure 4 has more islands and more detailed shorelines. The names of the countries and territories on the map in Figure 4 have a length up to 40 characters (South Georgia and South Sandwich Islands).

Figure 4: Length of country names (large scale map)

Click image to enlarge.

Software used in this guide

  • Stata: statistical software package
  • spmap: Stata module for drawing thematic maps, by Maurizio Pisati
  • shp2dta: Stata module for converting shapefiles to Stata format, by Kevin Crow
  • 110m-admin-0-countries.zip: small scale (1:110,000,000) Natural Earth world map with country borders (158 KB)
  • 50m-admin-0-countries.zip: medium scale (1:50,000,000) Natural Earth world map with country borders (1.3 MB)
  • 10m-admin-0-countries.zip: large scale (1:10,000,000) Natural Earth world map with country borders (6.7 MB)

Related articles

External links

Friedrich Huebler, 31 August 2012 (edited 2 September 2012), Creative Commons License
Permanent URL: http://huebler.blogspot.com/2012/08/stata-maps.html