Data dissagregation is a statistical strategy that supports the SDGs inclusiveness principle, ‘Leaving No One Behind’. The UN Statistical Division, International Organizations, and National Statistical Offices in each country are putting all their energy to strengthen their capabilities for data dissagregation. In order to keep pace with this trend, the Statistical Research Institute (SRI) of the Statistics Korea is to establish Korea’s data dissagregation strategy and implement it sequentially. First, through domestic and overseas environmental analysis, disability, migration status, and location(urban) were selected as the dissagregation areas to be intensively pursued in the future. This is because the data dissagregation by disability, migration status, location, etc. is relatively unavailable compared to sex or age. In order to increase the data availability in the relevant field, data collection based on a standardized concept should be carried out in advance. This year, therefore, we first reviewed whether the disability and urban concepts defined at the global level can be also applied to Korean context. In order to expand the capacity of disaggregated data production, the SRI plans to use various data sources and conduct research for the production of indicators that were not available in the past. At this level, big data was used to produce the public transport accessibility indicators. Data dissagregation is expected to make the vulnerable group that has been hidden statistically visible, which will serve as an important evidence for policy-making.
Key words: Data dissagregation, Inclusiveness, Disability, Urban, Accessibility