NSO1212v1 1.0.0

National Statistical Office of Mongolia's Open Data API v1 Handler for Python

NSO1212v1

National Statistical Office of Mongolia's Open Data API v1 Handler for Python

A lightweight Python client for accessing the 1212.mn National Statistics Office of Mongolia API. This package simplifies data retrieval by converting API responses into clean, easy-to-analyze pandas DataFrames.

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Features

• Retrieve sectors, subsectors, tables, table meta data, and data from 1212.mn.
• Validate query parameters before sending API requests.
• Handle language selection (mn or en).
• Convert JSON responses into pandas.DataFrame objects for convenient analysis.
• Support for JSON formatted responses.

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Installation

pip install NSO1212v1

Or install directly from source:

git clone https://github.com/makhgal-ganbold/NSO1212v1
cd NSO1212v1
pip install .

Dependencies

• pandas
• requests
• itertools (standard library)

Install dependencies with:

pip install pandas requests

Quick Start

import NSO1212v1 as nso

# Get list of all sectors

sectors = nso.sectors(language="en")
sector_id = sectors.id[5]

# Get subsectors of a sector

subsectors = nso.subsectors(sector_id, language="en")
subsector_id = subsectors.id[0]

# Get tables available under a subsector

tables = nso.tables(sector_id, subsector_id, language="en")
table_id = tables.id[5]

# Get metadata of a specific table

table = nso.table(sector_id, subsector_id, table_id, language="en")
table["variables"]

# Query actual data

query = {
  "query": [
    {
      "code": "Байршил",
      "selection": {
        "filter": "item",
        "values": ["0"]
      }
    },
    {
      "code": "Бүс",
      "selection": {
        "filter": "item",
        "values": ["0"]
      }
    },
    {
      "code": "Он",
      "selection": {
        "filter": "item",
        "values": ["0", "1"]
      }
    }
  ],
  "response": {
    "format": "json-stat2"
  }
}
data = nso.data(sector_id, subsector_id, table_id, query=query, language="en")

# The API response contains both raw JSON and a DataFrame
data
data["df"]

Author

Makhgal Ganbold, National University of Mongolia

Copyright

© 2025 Makhgal Ganbold