Transcript Socio-economic data Thailand, Sangawongse

Availability of socio-economic variables at subnational level - case study Thailand
By
Dr. Somporn Sangawongse
Department of Geography, Faculty of Social Sciences,
Chiang Mai University
Princess Sirindhorn International Center, Bangkok
December 6, 2003
• Introduction
• socio-economic variables and
indicators (SI)
• Integrated analysis of Geospatial and
socio-economic information (example)
• Conclusions & Recommendations
• References
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 the
whole Kingdom
3. Education
- Average Years of Schooling
- Literacy Rate of Population 6 Years and
Over (%)
- Transition Rate (%)
4. Socio-Economic
BB
1.4
G D P a nd G N P
1.35
1.3
1.25
1.2
1.15
1.1
1.05
4Q99

2Q00
4Q00
GD P
2Q01
4Q01
2Q02
GN P
The accelerated production growth was driven by both
agricultural sector, 2.0% growth, and non-agricultural
sector, 5.4% growth. The high growth sectors were
manufacturing (6.7%); construction (18.6%); electricity, gas
and water supply (5.6%); financial intermediation (5.5%);
and hotel and restaurants (3.5%).
GDP 2Q02 expanded by 5.1% compared to 3.9% in 1Q02
%
Growth Rate of GDP
10
5
0
-5
2Q97
2Q98
2Q99
2Q00
2Q01
2Q02
-10
-15
-20
G D P O r i g i nal
S easo nal l y A d j ust ed
Gross Domestic Product (GDP) expanded by 5.1%,
higher than 3.9% in the first quarter. It was supported
by both domestic and world market demand
particularly household consumption, rose by 3.8%,
compared to 3.6% in 1002.
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%.
%
20
Agriculture Sector Growth
15
10
5
0
- 52 Q 9 7
2 Q9 8
2 Q9 9
2 Q0 0
2 Q0 1
2 Q0 2
- 10
- 15
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
1.7
-0.2
0.5
0.0
1.7
1.6
1.5
GDP (Q/Q)
(Seasonally Adjusted)
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 goods
and high tech.
-3.9
0.2
-5.2
-6.5
-3.8
2.8
11.2
1.3
1.2
1.5
0.8
1.4
4.1
6.7
Total
In 2Q02, the manufacturing expanded by 6.7%, compared to 4.1%
in 1Q02 owing to the favorable high growth of the capital goods
and high technology industries, 11.2%. Whereas, the light
industries rose by 5.0% compared to 3.4% in 1Q02.
Key Indicators of Population and Household
Population and Housing Census (1990 and 2000)
Demographic characteristics
Demographic
characteristics
Total population ('000)
Population in Municipal
Area (%)
Sex ratio (males per 100
females)
Median age (years)
Population by age group
0-14 years (%)
15-59 years (%)
60 years and over (%)
1990
2000
54,548.5
60,916.4
29.4
31.1
98.5
97.1
24.6
29.2
29.2
63.4
7.4
24.4
66.1
9.5
Income
Income group: Economies are divided according
to 2002 GNI per capita, calculated using the
World Bank Atlas method. The groups are: low
income, $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
References
National Statistical Office (1998). Key Statistics of
Thailand, Office of the Prime Minister.
Office of the National Economic and Social
Development Board (2544). Social Indicators (19951999)
Office of the National Economic and Social
Development Board (2543). Thailand Development
Indicators 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