1. Growth & Demographic Characteristics of Seoul’s Population International Forum on Metropolitan Statistics, 19 -21 October 2008, Beijing Bongho Choi Korea National Statistical Office

2. Urban Population and Contribution of Net Migration Whole Country Urban population (in thousand, %) Inter-censal increase of urban population Due to net migrants (%) 1955 21,502 5,263 24.5 % 1960 24,989 6,997 28.0 % 1,734 - 1966 29,160 9,798 33.6 % 2,801 52.0 % 1970 31,43512,929 41.1 % 3,131 75.0 % 1975 34,67916,770 48.4 % 3,841 58.0 % 1980 37,40721,409 57.2 % 4,639 52.0 % 1985 40,44826,418 65.3 % 5,009 53.0 % 1990 43,41032,290 74.4 % 5,872less than 50 1995 44,609 -around 80 - - 2000 46,136 -more than 80 % - - 2005 47,279 -more than 80 % - -

3. Trend of Population for Whole Country and Urban

4. Population for Seoul and Metropolitan Area Whole Country City of Seoul (A)Gyeonggi Province (B) Seoul Metropolitan Area (A+B) 195521,502 1,569 7.3 %2,36011.0 % 3,92918.3 % 196024,989 2,445 9.82.74911.0 5,19420.8 196629,160 3,79313.03.10210.6 6,89523.6 197031,435 5,52517.63,35310.7 8,87828.3 197534,679 6,87919.84,03511.610,91431.4 198037,407 8,36422.34,93413.213,29835.5 198540,448 9,63923.86,18115.315,82039.1 199043,41010,61324.47,97418.418,58742.8 199544,60910,23122.99,95822.320,18945.2 200046,1369,89521.411,45924.821,35446.2 200547,279 9,82020.812,94627.422,76648.2

5. Seoul’s Population and Contribution of Net Migration PeriodInter-censal increase of Seoul’s population Due to net migrants (Numbers, %) 1955-60 876 … … 1960-66 1,348 553 41.0 1966-70 1,732 935 54.0 1970-75 1,354 529 39.1 1975-80 1,485 479 37.6 1980-85 1,275 264 20.7 1985-90 974 -62 … 1990-95 -382 … … 1995-2000 -336 -685 … 2000-2005 -75 -456 …

6. Net Migration Rate in Korea for 2000-05 and 2025-30

7. Number of CEB per Married Woman, 2005 Age of married women Whole country Seoul % Married Women CEB per married woman % Married Women CEB per married woman 15-19 0.4 0.36 0.3 0.47 20-24 6.3 0.66 3.5 0.56 25-29 40.9 0.92 29.2 0.92 30-34 81.0 1.54 70.7 1.56 35-39 92.4 1.90 87.2 1.86 40-44 96.4 1.98 94.4 1.90 45-49 97.6 2.05 96.5 1.99 15-49 63.0 1.77 56.1 1.67

8. % Married Women in Korea, 2005

9. Mean Number of CEB per Married Woman

10. Total Fertility Rate in Korea for 2000-05 and 2025-30

11. Age Structure for Whole Country & Seoul, 2005 Age groups Whole country Seoul Total 100.0 0-14 19.1 16.6 15-64 72.5 76.1 65+ 9.3 7.3

12. Economic Participation Rates in Seoul by Sex, 2005 Total Males Females (Whole Country) Population aged 15+ 39,170 (100.0) 19,084 (100.0) 20,086 (100.0) in economic activities 24,216 ( 61.8) 14,124 ( 74.0) 10,092 ( 50.2) not in economic activities 14,954 ( 38.2) 4,960 ( 26.0) 9,994 ( 49.8) (Seoul) Population aged 15+ 8,187 (100.0) 3,972 (100.0) 4,215 (100.0) in economic activities 5,148 ( 62.9) 2,969 ( 74.7) 2,179 ( 51.7) not in economic activities 3,040 ( 37.1) 1,003 ( 25.3) 2,036 ( 48.3) (Seoul Metropolitan Area) Population aged 15+ 19,290 (100.0) 9,454 (100.0) 9,837 (100.0) in economic activities 12,044 ( 62.4) 7,104 ( 75.1) 4,942 ( 50.2) not in economic activities 7,247 ( 37.6) 2,350 ( 24.9) 4,895 ( 49.8)

13. Monthly Household Income & Expenditure, 2007 Whole country Seoul Household income (in Korean Won) 3,310,555 3,387,026 Household expenditure (in Korean Won) 2,699,644 2,665,246

14. Framework for Development of Regional Statistics Development by KNSO and/or Central Governments Development by KNSO's Technical Assistance to Local Governments Demand for Regional Statistics Identification of data gaps · Efforts are being made through seminars, individual contacts Conduct of demand survey · Survey is done through provincial governments Developing of Regional Statistics KNSO's selection of local governments for providing technical assistance Expansion of sample sizes and/or utilization of administrative data, etc. · KNSO and central governments Division of roles · KNSO : Provision of technical assistance · Local governments : Maintaining statistical surveys Utilization Dissemination of regional statistics Construction of Database (by the end of 2008) · e- indicator system for local governments

15. Regional Statistics Needed: Example of Australian Bureau of Statistics Demography (size & structure of population, migration) Quality of Life - Services (demand, availability, accessibility, affordability, quality) - Well-being (employment, health, housing, income, assets) - Specific population groups (foreign laborers, youth, older persons, women, persons with a disability) Community Strength - Human capital (education, skills, leadership, training infrastructure) - Social capital (social networks, community activities, trust, safety, sense of belonging) - Information networks Economic Growth - Structure (industry, labor market, turnover, journey to work) - Performance (production, consumption, turnover, employment, investment, income and earnings) - Links (imports, exports) - Barriers (labor force skills, infrastructure, innovation, environment) Environmental Issues

16. Regional Statistics Needed: Example of Statistics New Zealand AreaIndicators Output - GRDP - Number of establishments by industry Education- Illiteracy rate, Educational attainment, Teacher/Pupil ratio Employment - Employment by industry and occupation - Labor force projection Use of Energy - Production of energy by type (electricity, gas) - Use of energy for heating and cooking - Use of energy by kinds and industry - Turnover and consumption of energy by type Environment - Expenditure for environmental protection by institutions - Statistics on commuting - Sewage by kinds and statistics on renewal - Statistics on air, land and water Population & Public Health -Internal migration, population projection, life expectancy, IMR, In-patients and discharge by major diseases

17. Regional Statistics Needed: Example of Statistics New Zealand Area Indicators Social Cohesion - Participation in community and leisure activities - Utilization of social welfare facilities, use of Internet - An agreed set of quality of life indicators Tourism - Number of local and foreign visitors, duration of stay, impact on local economy Housing - Number of houses by type, number of beds - Household projection Income and Welfare - House price per income - Household expenditure - Household income by source of income - Household income by demographic characteristics Transportation - Commuters by origin-destination - Means of transportation - Accidents and casualties by causes Agriculture - Production by crops, living stocks by kinds - Turnover by type of farms

18. e – indicators for local governments http://jibang.kosis.kr http://jibang.kosis.kr

19. 5 5 How each indicator is represented Graphs Tables of Statistics Explanations & analyses Remarks, Terms and method Posted opinions or comments - definition - how to interpret it - main influencing factors - future expectation - trends

21. 1 1 Why did KNSO develop this system? ★ All Local Government Agencies need Good Statistics to tell the current status - how we are doing to show the direction we should go ★ Good statistics  provide evidences for good policy processing  help governments to identify the best courses of action in dealing with complex situations

22. Q & A Thank you !!