Population & Household Statistics

Resident Registration Population and Household Statistics are official demographic data published monthly by South Korea's Ministry of the Interior and Safety (MOIS). These statistics provide comprehensive population counts and household numbers for every administrative division in the country — from provinces (시·도) and districts (시·군·구) down to individual neighborhoods (읍·면·동). The data is based on the resident registration system established under the Resident Registration Act, which requires all Korean nationals to register their place of residence with their local government. This registration forms the legal basis for tracking the population distribution across the country. It is important to note that resident registration population may differ slightly from the actual resident population (de facto population). Discrepancies can arise due to delayed address change notifications, individuals living at a different location from their registered address (such as students or workers temporarily stationed elsewhere), and other administrative factors. Despite these limitations, resident registration statistics serve as the official population benchmark for administrative purposes. These figures are critical for a wide range of applications, including national policy formulation, allocation of local government grants and subsidies, electoral district boundary delimitation, urban planning and infrastructure development, welfare service eligibility determination, school district planning, and disaster response resource allocation. Beyond total population counts, the statistics include detailed breakdowns of male and female populations, number of households, average persons per household, and gender ratios (male population divided by female population). These additional metrics allow for a multidimensional analysis of population structure across different regions, revealing patterns such as aging communities, areas with high concentrations of single-person households, and regions experiencing rapid population growth or decline.

Using the Population and Household Statistics lookup tool is straightforward and intuitive. Start by selecting the province or metropolitan city you want to examine from the 'Province / City' dropdown menu. All 17 top-level administrative divisions of South Korea are available, including the special cities (Seoul, Sejong), metropolitan cities (Busan, Daegu, Incheon, Gwangju, Daejeon, Ulsan), provinces (Gyeonggi, Gangwon, Chungbuk, Chungnam, Jeonbuk, Jeonnam, Gyeongbuk, Gyeongnam), and Jeju Special Self-Governing Province. Next, select the desired time period using the 'Year-Month' picker. The default is set to two months prior to the current date, as the Ministry of the Interior and Safety typically publishes data based on the last day of each month, with a processing delay of approximately 2-4 weeks. After clicking the 'Search' button, results are displayed in three sections. First, summary cards at the top provide an at-a-glance overview of total population, total households, average persons per household, and the male/female breakdown for the selected province. Second, a bar chart visualizes the top 10 districts by population within the province, enabling quick visual comparison of population sizes across different areas. Third, a detailed table lists every district (시·군·구) with columns for population, male count, female count, household count, persons per household, and gender ratio. The table includes a visual gender ratio indicator showing the male-to-female balance. To explore further, click any district row to drill down into neighborhood-level (읍·면·동) data. This reveals the same statistics broken down by individual neighborhoods within that district, with an updated bar chart and table. Use the back arrow link at the top to return to the district-level view. On mobile devices, some table columns (male, female, persons per HH, gender ratio) are hidden to fit the screen, while the most important data (area name, population, households) remains visible.

Understanding the key indicators in the resident registration population statistics helps you interpret the data more meaningfully and draw valuable insights. Total Population represents the number of Korean nationals registered as residents in a given administrative area. This figure does not include foreign nationals, who are tracked separately under the Immigration Control Act by the Ministry of Justice. The total population is the most commonly cited figure and serves as the baseline for most demographic analyses. Household Count refers to the number of independently registered household units in the Resident Registration system. Each household represents a distinct living unit, and single-person households are counted as one household each. The rise in single-person households has been a significant demographic trend in South Korea, with such households now comprising over 40% of all households nationwide. Persons per Household is calculated by dividing the total population by the number of households. This metric reflects the average household size in an area. A higher value suggests a prevalence of multi-generational or larger families, while a lower value indicates more single-person or small households. The national average has been declining steadily — from approximately 3.1 persons per household in the 1990s to about 2.1-2.2 in the 2020s — reflecting demographic shifts including declining birth rates, aging population, increasing divorce rates, and growing preference for independent living among younger generations. The Gender Ratio is expressed as the male population divided by the female population. A ratio of 1.0 indicates equal numbers; below 1.0 means more females, and above 1.0 means more males. South Korea's overall gender ratio is approximately 0.99-1.00, but significant regional variations exist. Areas with military installations or industrial complexes tend to have higher male ratios, while rural areas with aging populations often show higher female ratios due to longer female life expectancy. University districts may show varying patterns depending on the institution's gender composition.

Population and household data can be leveraged for a variety of practical applications beyond simple demographic curiosity. Here are some effective ways to utilize this information. First, real estate and business location analysis benefits greatly from population data. Areas showing consistent population growth indicate increasing demand for housing and commercial services, potentially driving up property values. Growing household numbers, even without population growth, suggest demand for additional housing units, particularly smaller ones. Areas with high persons-per-household values tend to have more family-oriented consumption patterns, while areas with low values (below 1.5) indicate high concentrations of single-person households with different consumption needs such as delivery services, small-portion food products, and studio apartment rentals. Second, comparing data across multiple months reveals population migration trends. If a specific district shows consistent population decline, it may indicate urban hollowing or economic deterioration, while growth may reflect new town development, job creation, or infrastructure improvements. The timing of population changes can also correlate with major events such as new apartment complex completions, university semester starts, or military base relocations. Third, drilling down to the neighborhood level within the same district reveals micro-level population density variations. Newly developed apartment complexes often cause sharp population increases in specific neighborhoods, while areas undergoing redevelopment may show temporary population decreases as residents relocate during construction. Fourth, gender ratio data can help infer regional industrial and economic characteristics. Extremely high male ratios often indicate military facilities or manufacturing complexes, while areas near universities may show varying patterns based on student demographics. Fifth, areas with very low persons-per-household values (1.5 or below) represent concentrations of single-person households with distinct market needs including food delivery, courier services, convenience stores, laundromats, and compact living solutions. Finally, combining this data with Statistics Korea's Vital Statistics (births, deaths, marriages, divorces) enables separation of natural increase/decrease from social increase/decrease (migration), providing a more accurate picture of the underlying causes of regional population changes.