Population Census 2019 with agricultural module

Using GIS cartography & data backbone

Description

Belarus’s Population Census 2019 integrated an agricultural module for the first time to collect exhaustive information on household (family holding) crop and livestock activity not covered by regular state reporting for agricultural organizations. The census used GIS cartography and multiple enumeration modes to generate official tables and thematic maps and to update national agricultural statistics series.

Technology

  • GIS
  • Desktop/web-based application
  • Big data

Belstat prepared electronic cartography in a GIS “Population Census” system with boundaries of registration areas, census areas and enumeration areas (EAs), plus addresses/dwellings, delivered to enumerators on tablets for CAPI. Data collection combined CAWI (online), stationary/mobile enumeration centres, and CAPI tablets, supported by in-house tools (“Registrator” for housing lists/cartography and “Perepischik” for personal data capture) and built-in validation controls.

Target

  • Public sector
  • Academia and research institutions

The module serves statistical offices, research institutions, and government agencies involved in agricultural data collection and analysis. Primary users are Belstat and collaborating state institutions managing national agricultural/demographic statistics and planning. Secondary users include research institutions and policy teams consuming the published tables, thematic maps, and data portal outputs.

Business model

  • Donor support

The GIS module is provided as a public resource for statistical purposes. Access is available to authorized users in statistical and research institutions.

Impact

The GIS module enhances the quality and accuracy of agricultural statistics by providing spatial context and mapping capabilities. It supports evidence-based policy making and agricultural planning through improved data visualization and analysis.

Partners

World Bank; UNFPA; FAO

Four Betters

  • Better life

Sustainable Development Goals

  • SDG 2: Zero hunger
  • SDG 9: Industry, innovation, and infrastructure
  • SDG 17: Partnerships for the goals
For detailed description of each attribute and parameter, check the AgriTech Observatory Taxonomy >

Analytics

Explore analytics related to this entry

Technology prevalence

Loading analytics data...

Source: FAO AgriTech Observatory

Entry type breakdown

Distribution of observatory entries by Entry Type.

Loading analytics data...

Source: FAO AgriTech Observatory

Digital Public Good Alliance 标志

AgriTech Observatory 被 Digital Public Good Alliance 认定为数字公共产品