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Good practice Imported

1212.mn — Mongolia's National Statistical Open Data Portal

Mongolia · Ulaanbaatar · See the Mongolia profile · See the Ulaanbaatar profile

Evidence: Observational / pre–post Top 83% 52/100 · Ask Evidence Copilot about this practice

Mongolia's National Statistical Office opened its full statistical database via www.1212.mn and an open API, rising from 11th to 8th of 195 countries on the Open Data Inventory (ODIN) between 2018 and 2022, with a 91/100 openness sub-score in 2020.

78 /100
ODIN overall score (2020) (2020)
64 /100
Data coverage sub-score (2020) (2020)
91 /100
Data openness sub-score (2020) (2020)
9th of 187
Global rank (2020) (2020)
11th
Global rank (2018) (2018)
82 /100
ODIN overall score (2022) (2022)
8th of 195
Global rank (2022) (2022)

Details

Maturity
Established
Promoter
National Statistical Office of Mongolia (NSO)
Period
2015–2026
Keywords
open data, official statistics, digital government

Context

Mongolia's National Statistical Office (NSO) began publishing its integrated statistical database online at www.1212.mn as part of a national open-data initiative, later adding a dedicated open-data API (opendata.1212.mn) built on the international PxWeb standard used by many national statistics offices.

Objectives

The initiative aimed to make Mongolia's official statistics openly available and machine-readable, and, from 2025, to give researchers a secure environment for analysing underlying microdata via a new Statistical Data Lab.

Activities

The NSO published data online, added an open API on the PxWeb standard, and in 2025 launched the Statistical Data Lab. Independent assessment by Open Data Watch's Open Data Inventory (ODIN) has benchmarked the coverage and openness of Mongolia's statistics office across three assessment rounds since 2018.

Results

Mongolia scored 78/100 overall in the 2020 ODIN round (data coverage 64/100, data openness 91/100), ranking 9th of 187 countries and 1st in East Asia, up from 11th place in the 2018 round. By the 2022 round, Mongolia's score had risen further to 82/100, ranking 8th of 195 countries assessed.

Conclusions

ODIN measures the availability and machine-readability of official statistics, not downstream usage or policy impact, so this ranking is strong third-party evidence of data-supply quality rather than proof that businesses, researchers or citizens are using the data to change outcomes.

Implementation
Indicative cost
Low (< €50k)
Time to results
Long (> 3 years)
Staffing & skills
National Statistical Office of Mongolia (NSO)

Conditions for success

  • Built on the PxWeb standard shared by many national statistics offices, aiding technical compatibility
  • Independent ODIN benchmarking across three assessment rounds (2018, 2020, 2022) provides external validation
  • 2025 Statistical Data Lab gives researchers a secure environment for microdata analysis

Common failure modes

  • ODIN measures data supply and openness, not downstream usage or policy impact, so an improving rank does not by itself prove the data changes outcomes

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

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