Percentage of qualified teachers in secondary education, adjusted gender parity index (GPIA) by country
The Adjusted Gender Parity Index (GPIA) is calculated by dividing the female value for the indicator by the male value for the indicator. If the resulting value exceeds 1, the ratio is inverted and subtracted from 2. The adjusted gender parity index is symmetrical around 1 and lies in the range 0-2. An adjusted GPI...
What the numbers show
Percentage of qualified teachers in secondary education, adjusted gender parity index (GPIA) is currently reported for 34 countries. The highest value is 1.2% in Palestine, State of; the lowest is 1.0% in Burundi.
The median across all reporting countries is 1.0%, and the mean is 1.0%.
Over the past decade 9 countries rose and 5 fell. The largest increase was in Peru (up 14.8%), and the largest decrease in Saint Vincent and the Grenadines (down 18.4%).
Percentage of qualified teachers in secondary education, adjusted: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Palestine, State of | 1.2% | 2019 | down 3.4% | flat |
| 2 | Peru | 1.2% | 2019 | up 14.8% | rising |
| 3 | Bahamas | 1.1% | 2018 | up 5.0% | rising |
| 4 | Belize | 1.1% | 2019 | up 10.3% | rising |
| 5 | Saint Vincent and the Grenadines | 1.1% | 2018 | down 18.4% | falling |
| 6 | Seychelles | 1.1% | 2019 | up 6.4% | flat |
| 7 | Tanzania, United Republic of | 1.0% | 2019 | up 4.4% | flat |
| 8 | Ecuador | 1.0% | 2018 | up 0.6% | flat |
| 9 | Albania | 1.0% | 2017 | — | flat |
| 10 | Brunei Darussalam | 1.0% | 2019 | — | flat |
| 11 | Panama | 1.0% | 2017 | — | flat |
| 12 | China | 1.0% | 2019 | — | flat |
| 13 | Gambia | 1.0% | 2019 | up 0.5% | flat |
| 14 | Burkina Faso | 1.0% | 2019 | — | flat |
| 15 | Colombia | 1.0% | 2017 | — | flat |
| 16 | Belarus | 1.0% | 2018 | — | flat |
| 17 | Costa Rica | 1.0% | 2019 | up 0.0% | flat |
| 18 | Bahrain | 1.0% | 2019 | up 2.7% | flat |
| 18 | Barbados | 1.0% | 2019 | — | flat |
| 18 | Serbia | 1.0% | 2019 | unchanged | flat |
| 18 | Singapore | 1.0% | 2018 | unchanged | flat |
| 18 | Saudi Arabia | 1.0% | 2019 | unchanged | flat |
| 18 | Andorra | 1.0% | 2019 | unchanged | flat |
| 18 | Qatar | 1.0% | 2019 | unchanged | flat |
| 18 | Côte d'Ivoire | 1.0% | 2019 | unchanged | flat |
| 18 | Niger | 1.0% | 2018 | unchanged | flat |
| 18 | Mauritius | 1.0% | 2019 | down 11.0% | falling |
| 18 | Macao | 1.0% | 2019 | unchanged | flat |
| 18 | Djibouti | 1.0% | 2019 | unchanged | flat |
| 18 | Kazakhstan | 1.0% | 2019 | — | flat |
| 18 | Jamaica | 1.0% | 2019 | down 10.2% | falling |
| 18 | Hong Kong | 1.0% | 2019 | unchanged | flat |
| 33 | Philippines | 1.0% | 2018 | — | flat |
| 34 | Burundi | 1.0% | 2019 | down 4.4% | rising |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- IDA only 1.1%
- World 1.0%
- Least developed countries 1.1%
- Other small states 1.1%
- Pre-demographic dividend 1.1%
- Heavily indebted poor countries (HIPC) 1.0%
- Small states 1.0%
- Sub-Saharan Africa 1.0%
- Sub-Saharan Africa (IDA & IBRD countries) 1.0%
- Sub-Saharan Africa (excluding high income) 1.0%
- Low & middle income 1.0%
- Middle income 1.0%
- IBRD only 1.0%
- Upper middle income 1.0%
- East Asia & Pacific (IDA & IBRD countries) 1.0%
- East Asia & Pacific (excluding high income) 1.0%
- East Asia & Pacific 1.0%
- Caribbean Small States 1.0%
- Late-demographic dividend 1.0%
- Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) 1.0%
- Middle East, North Africa, Afghanistan & Pakistan (excluding high income) 1.0%
- Arab World 1.0%
- Middle East, North Africa, Afghanistan & Pakistan 1.0%
About this data
The Adjusted Gender Parity Index (GPIA) is calculated by dividing the female value for the indicator by the male value for the indicator. If the resulting value exceeds 1, the ratio is inverted and subtracted from 2. The adjusted gender parity index is symmetrical around 1 and lies in the range 0-2. An adjusted GPI equal to 1 indicates parity between females and males. In general, a value less than 1 indicates disparity in favor of males and a value greater than 1 indicates disparity in favor of females. For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/