availability of socio-economic variables at sub- national level - case study thailand by dr. somporn...
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Availability of socio-economic variables at sub-national level - case study Thailand
By
Dr. Somporn SangawongseDepartment of Geography, Faculty of Social Sciences,
Chiang Mai University
Princess Sirindhorn International Center, BangkokDecember 6, 2003
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• IntroductionIntroduction • socio-economic variables and indicators (SI)• Integrated analysis of Geospatial and socio-economic information (example)• Conclusions & RecommendationsConclusions & Recommendations • ReferencesReferences
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What are socio-economic variables ?
Social Variables
1. Population - Total Population ('000 Persons) - Age Dependency Ratio (%) Singulate Mean Age at First Marriage(SMAM) (Years)- Religion (%)- Rate Related about Population- Life Expectacy at Birth (Years)- Migration
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Population Density Map
Bangkok is the highest population density (3617.7 person/sq.km)
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Population growth rate by province
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World Infant Mortality Rate
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2. Public Health
- Illness Rate (%)- Population Who Received Health Insurance Rate
(%)- Smoking Rate of Population 15 Years and Over
(%)- Alcohol Drinking Rate of Population 15 Years and
Over (%)- Safety Belt Use Rate of Population 15 Years and
Over (%)- Helmet Wearing Rate of Population 15 Years and
Over (%)- Exercise Rate of Population 15 Years and Over
(%)- Number of Population per 1 Person- Number of Population per 1 Bed- Maternal Death Rate (%)- Malnutrition (%)
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Life expectancy at birth, 1999
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Number of mother die in Northern Thailand
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Number of mother die in Northern Thailand
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2. Labor
- Labor Force Participation Rate- Unemployment Rate- Employment by Sectors 1/ (%)- Female Work- Labor Market- Home Worker
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Employed Person by work for the whole Kingdom
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Unemployed persons for thewhole Kingdom
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3. Education- Average Years of Schooling- Literacy Rate of Population 6 Years and
Over (%)- Transition Rate (%)
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4. Socio-Economic
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GDP and GNP
1.05
1.1
1.15
1.2
1.25
1.3
1.35
1.4
4Q99 2Q00 4Q00 2Q01 4Q01 2Q02
BB
GDP GNP
The accelerated production growth was driven by bothagricultural sector, 2.0% growth, and non-agriculturalsector, 5.4% growth. The high growth sectors weremanufacturing (6.7%); construction (18.6%); electricity, gasand water supply (5.6%); financial intermediation (5.5%);and hotel and restaurants (3.5%).
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Growth Rate of GDP
-20
-15
-10
-5
0
5
10
2Q97 2Q98 2Q99 2Q00 2Q01 2Q02
%
GDP OriginalSeasonally Adjusted
Gross Domestic Product (GDP) expanded by 5.1%,higher than 3.9% in the first quarter. It was supportedby both domestic and world market demandparticularly household consumption, rose by 3.8%,compared to 3.6% in 1002.
GDP 2Q02 expanded by 5.1% compared to 3.9% in 1Q02
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Agricultural sector
Agricultural sector expanded by 2.0%, compared to 5.2% in 1Q02. Crops and livestocks still grew by 4.1% but fisheries shrank by 8.5%.
Agriculture Sector Growth
-15
-10
-5
0
5
10
15
20
2Q97 2Q98 2Q99 2Q00 2Q01 2Q02
%
Fisheries Crops & Livestock
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The seasonally adjusted GDP expanded by 1.5%, less than 1.6% in 1Q02
Growth Rate of Gross Domestic Product : Q2/2002 ( % )
2001 2001 2002
Q1 Q2 Q3 Q4 Q1 Q2
Agriculture 1.5 0.9 1.4 -1.7 4.2 5.2 2.0
Non -agriculture 1.8 1.8 1.9 1.9 1.8 3.8 5.4
GDP 1.8 1.7 1.8 1.6 2.1 3.9 5.1
GDP (Q/Q)(Seasonally Adjusted) 1.7 -0.2 0.5 0.0 1.7 1.6 1.5
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In 2Q02, the manufacturing expanded by 6.7%, compared to 4.1%in 1Q02 owing to the favorable high growth of the capital goodsand high technology industries, 11.2%. Whereas, the lightindustries rose by 5.0% compared to 3.4% in 1Q02.
Manufacturing Sector Growth (%)
Industrial types 2001 2001 2002
Q1 Q2 Q3 Q4 Q1 Q2
Light Industries 3.6 3.1 3.3 4.0 3.7 3.4 5.0
Raw material 3.8 -1.3 6.6 5.2 4.5 6.8 4.6
Capital goodsand high tech. -3.9 0.2 -5.2 -6.5 -3.8 2.8 11.2
Total 1.3 1.2 1.5 0.8 1.4 4.1 6.7
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DemographiccharacteristicsTotal population ('000) 54,548.5 60,916.4Population in MunicipalArea (%)
29.4 31.1
Sex ratio (males per 100females)
98.5 97.1
Median age (years) 24.6 29.2Population by age group0-14 years (%) 29.2 24.415-59 years (%) 63.4 66.160 years and over (%) 7.4 9.5
Demographic characteristics
Key Indicators of Population and Household
Population and Housing Census (1990 and 2000)
1990 2000
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Income
Income group: Economies are divided accordingto 2002 GNI per capita, calculated using theWorld Bank Atlas method. The groups are: lowincome, $735 or less; lower middle income, $736- $2,935; upper middle income, $2,936 - $9,075;and high income, $9,076 or more.
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Linking of Socio-econamic data with Geo-spatial data )
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Number of Population in Thailand 2000
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Map of Northern Thailand By Province
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Weight of Child in Northern Thailand
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Weight of Child in Northern Thailand
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Rate of High School Education in Northern Thailand
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Rate of High School Education in Northern Thailand
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Rate of Education Higher than M.6 in Northern Thailand
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Rate of Literacy in Northern Thailand
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Rate of Literacy in Northern Thailand
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Summary of Thailand Socio-economic statistics
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ReferencesNational Statistical Office (1998). Key Statistics ofThailand, Office of the Prime Minister.
Office of the National Economic and SocialDevelopment Board (2544). Social Indicators (1995-1999)
Office of the National Economic and SocialDevelopment Board (2543). Thailand DevelopmentIndicators 1990-1999
United Nations Development Programme (1999).Human Development Report of Thailand.
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The End
Comments and suggestions are very welcome
Thank You For Your Attention