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

• IntroductionIntroduction • socio-economic variables and indicators (SI)• Integrated analysis of Geospatial and socio-economic information (example)• Conclusions & RecommendationsConclusions & Recommendations • ReferencesReferences

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

Population Density Map

Bangkok is the highest population density (3617.7 person/sq.km)

Population growth rate by province

World Infant Mortality Rate

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 (%)

Life expectancy at birth, 1999

Number of mother die in Northern Thailand

Number of mother die in Northern Thailand

2. Labor

- Labor Force Participation Rate- Unemployment Rate- Employment by Sectors 1/ (%)- Female Work- Labor Market- Home Worker

Employed Person by work for the whole Kingdom

Unemployed persons for thewhole Kingdom

3. Education- Average Years of Schooling- Literacy Rate of Population 6 Years and

Over (%)- Transition Rate (%)

4. Socio-Economic

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%).

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

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

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

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

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

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.

Linking of Socio-econamic data with Geo-spatial data )

Number of Population in Thailand 2000

Map of Northern Thailand By Province

Weight of Child in Northern Thailand

Weight of Child in Northern Thailand

Rate of High School Education in Northern Thailand

Rate of High School Education in Northern Thailand

Rate of Education Higher than M.6 in Northern Thailand

Rate of Literacy in Northern Thailand

Rate of Literacy in Northern Thailand

Summary of Thailand Socio-economic statistics

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.

The End

Comments and suggestions are very welcome

Thank You For Your Attention