Mining and schooling in Mongolia's provinces
Context
Since large-scale mining began in 2004, Mongolia's economy has grown about 7.2% a year. Mining now supplies roughly a quarter of GDP, 90% of exports and more than 30% of government revenue. Two of the world's largest deposits, Oyu Tolgoi (copper and gold) and Tavan Tolgoi (coal), sit in Umnugovi province in the South Gobi, and the companies developing them have promised money for local schools and infrastructure: Oyu Tolgoi's 2015 cooperation agreement with four partner districts committed five million dollars a year to a community fund, and a new school and kindergarten complex opened in Khanbogd in 2018. At the same time, UNICEF found schools in South Gobi mining towns running at 50 to 250% of capacity, with the Khanbogd school ranked last among 21 in the province, and the ILO put about 56,000 Mongolian children, a tenth of 5 to 17 year olds, in child labor, with mining among the hazardous sectors that draw in teenage boys. A 2021 to 2022 national survey counted 138,525 children in child labor, 16 percent of the age group, most of it herding and fetching water and fuel in rural households.
The question
How has large-scale and informal mining affected education and the economy across Mongolia's 21 provinces, and what happened to the existing school systems in mining towns once companies arrived and families migrated to work?
Data and design
Education and economic data from Mongolia's National Statistical Office were combined for all 21 provinces from 2000 to 2022 (enrollment by level and gender, graduates, teachers, schools, kindergartens, per capita GDP and industrial sales), with district-level data from 2015. A 2022 study identifying the four provinces where mining measurably raises household income (Tuv, Selenge, Orkhon and Umnugovi) defined the mining group; the other seventeen served as the comparison. Outcomes were compared before and after mining activity began, then the four mining provinces were split by type: large-scale corporate mining (Umnugovi, Orkhon) against informal small-scale gold mining (Tuv, Selenge). A third test looked inside Umnugovi at the districts covered by the Oyu Tolgoi agreement.
Findings
Taken together, mining provinces showed no significant change in enrollment. The result appears only when the provinces are split by the kind of mining. Where mining is large-scale and formal, enrollment rose in primary and secondary school for both boys and girls, along with per capita GDP and industrial sales, while the number of schools and kindergartens fell: more children in fewer classrooms. Where mining is informal, the opposite: enrollment fell at every level, fewer students finished grades 9 and 12, and per capita GDP fell. In the Oyu Tolgoi partner districts, the dependency ratio and truck traffic rose within a year of the agreement, but school entrants, students and schools did not measurably change.

Conclusion
The effect of mining on a province's schools depends on what kind of mine it is. A large corporate mine brings revenue and, on the numbers, more children enrolled, but it also brings unregistered in-migration that overloads the schools that exist. Informal mining pulls parents and teenage boys into unregulated work and pulls enrollment down. Limits: district-level data only begins in 2015, mining-town populations are undercounted, and some provinces host both kinds of mining at once.
What the newer data show
Provincial figures for 2023 to 2025, retrieved from the National Statistical Office for the extended report, show the first half of the pattern persisting: the large-scale provinces' enrollment lead over the comparison provinces widened from about four points in 2022 to about six in 2025, and their student numbers have grown by about a third since 2019 against 15 percent in the comparison provinces. The second half has weakened: the informal provinces' enrollment deficit, five to eight points in 2015 to 2018, had closed by 2025, driven by Tuv. Whether that reflects the formalization of artisanal mining or the re-basing of population estimates after the 2020 census, the data cannot say.







