Total net enrolment rate, lower secondary, gender parity index in Macau (China)

Macau (China): Total net enrolment rate, lower secondary, gender parity index was 1.02 GPI in 2019. ▲ Rising

Latest (2019)
1.02 GPI
Change on year
down 1.0%
World rank
43rd
of 135 countries
All-time high
1.04 GPI
in 2016
All-time low
0.9237 GPI
in 2004
Years of data
23
1990–2019

Total net enrolment rate, lower secondary, gender parity index in Macau (China), 1990–2019

00.250.50.7511990200420191990: 0.955 GPI1992: 0.989 GPI1999: 0.997 GPI2000: 1 GPI2001: 1 GPI2002: 0.977 GPI2003: 0.933 GPI2004: 0.924 GPI2005: 0.933 GPI2006: 0.965 GPI2007: 0.97 GPI2008: 0.979 GPI2009: 0.977 GPI2010: 0.978 GPI2011: 0.981 GPI2012: 1 GPI2013: 1 GPI2014: 1 GPI2015: 1 GPI2016: 1 GPI2017: 1 GPI2018: 1 GPI2019: 1 GPI

Source: UNESCO Institute for Statistics. Measured in GPI.

Analysis

The most recent figure for total net enrolment rate, lower secondary, gender parity index in Macau (China) is 1.02 GPI, measured in 2019.

That represents a change of down 1.0% on the previous year and up 4.0% over ten years.

Over the whole period, total net enrolment rate, lower secondary, gender parity index in Macau (China) peaked at 1.04 GPI in 2016 and was at its lowest, 0.9237 GPI, in 2004.

That places Macau (China) 43rd out of 135 countries with data for 2019, putting it in the middle of the range.

The long-run direction has been consistently rising across the 23 years of available data.

Averages by decade

DecadeAverage LowestHighest Years
1990s 0.9805 GPI 0.9552 GPI 0.9972 GPI 3
2000s 0.9676 GPI 0.9237 GPI 1.01 GPI 10
2010s 1.01 GPI 0.9778 GPI 1.04 GPI 10

Countries ranked near Macau (China)

  1. 40 Germany 1.02 GPI compare
  2. 41 Croatia 1.02 GPI compare
  3. 42 Tonga 1.02 GPI compare
  4. 44 Egypt 1.02 GPI compare
  5. 45 United States 1.02 GPI compare
  6. 46 Costa Rica 1.01 GPI compare

See the full ranking of 180 places →

More reference data data for Macau (China)

All data for Macau (China) →

Frequently asked questions

What is total net enrolment rate, lower secondary, gender parity index in Macau (China)?
Total net enrolment rate, lower secondary, gender parity index in Macau (China) was 1.02 GPI in 2019, according to UNESCO Institute for Statistics.
What is the highest total net enrolment rate, lower secondary, gender parity index recorded in Macau (China)?
The highest recorded value was 1.04 GPI in 2016.
What is the lowest total net enrolment rate, lower secondary, gender parity index recorded in Macau (China)?
The lowest recorded value was 0.9237 GPI in 2004.
How does Macau (China) rank for total net enrolment rate, lower secondary, gender parity index?
Macau (China) ranks 43rd out of 135 countries with data for 2019.
Is total net enrolment rate, lower secondary, gender parity index rising or falling in Macau (China)?
Over the last ten years it is up 4.0%. The long-run trend across the full record is rising.
Where does this Macau (China) data come from?
The figures come from UNESCO Institute for Statistics, published as part of Total net enrolment rate, lower secondary, gender parity index (GPI). Statizoid updates them automatically from the source API.

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Total net enrolment rate, lower secondary, gender parity index in Macau (China). Statizoid, drawing on UNESCO Institute for Statistics. Retrieved 21 August 2026, from https://reference.statizoid.com/stat/total-net-enrolment-rate-lower-secondary-gender-parity-index-gpi/macao-sar-china/

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About this data

Indicator
Total net enrolment rate, lower secondary, gender parity index (GPI)
Unit
GPI
Source
UNESCO Institute for Statistics
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
180 places, 3,032 data points, 1970–2019
Last refreshed

Ratio of female total net enrolment rate for lower secondary to the male total net enrolment rate for lower secondary. It is calculated by dividing the female value for the indicator by the male value for the indicator. A 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.