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

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Presentation transcript:

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

Urban Population and Contribution of Net Migration Whole Country Urban population (in thousand, %) Inter-censal increase of urban population Due to net migrants (%) ,502 5, % ,989 6, % 1, ,160 9, % 2, % ,43512, % 3, % ,67916, % 3, % ,40721, % 4, % ,44826, % 5, % ,41032, % 5,872less than ,609 -around ,136 -more than 80 % ,279 -more than 80 % - -

Trend of Population for Whole Country and Urban

Population for Seoul and Metropolitan Area Whole Country City of Seoul (A)Gyeonggi Province (B) Seoul Metropolitan Area (A+B) ,502 1, %2, % 3, % ,989 2, , ,160 3, , ,435 5, , , ,679 6, , , ,407 8, , , ,448 9, , , ,41010, , , ,60910, , , ,1369, , , ,279 9, , ,

Seoul’s Population and Contribution of Net Migration PeriodInter-censal increase of Seoul’s population Due to net migrants (Numbers, %) … … , , , , , … … … … …

Net Migration Rate in Korea for and

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

% Married Women in Korea, 2005

Mean Number of CEB per Married Woman

Total Fertility Rate in Korea for and

Age Structure for Whole Country & Seoul, 2005 Age groups Whole country Seoul Total

Economic Participation Rates in Seoul by Sex, 2005 Total Males Females (Whole Country) Population aged ,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 ,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)

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

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

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

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

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

e – indicators for local governments

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

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

Q & A Thank you !!