Industries

Business Distribution by Industry in Dan Sai District

Dan Sai District Facts

Area18.1 km²
Population7,668
Male Population3,823 (49.9%)
Female Population3,845 (50.1%)
Population change (1975 to 2020)-76.2%
Population change (2000 to 2020)-60.1%
Median Age34.7 years (Male: 33.8, Female: 35.6)
GDP per capita (PPP)$9,301 (2022)
NeighborhoodsTambon Dan Sai, Dan Sai, ด่านซ้าย, Si Song Rak, Tambon Kok Sathon
Local Time
TimezoneIndochina Time
Lat & Lng17.28011, 101.14686
Postal Codes42120

Map of Dan Sai District

Interactive Map

Dan Sai District Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population32,21923,16719,21913,3387,6686,4605,527
Population Density1,777.6 / km²1,278.2 / km²1,060.4 / km²735.9 / km²423.1 / km²356.4 / km²304.9 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Dan Sai District Population change from 2000 to 2020

Decrease of 60.1% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Dan Sai District-76.2%-66.9%-60.1%
Loei Province
Thailand
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Dan Sai District Median Age

Median Age: 34.7 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Dan Sai District34.7 yrs35.6 yrs33.8 yrs
Loei Province34.7 yrs35.6 yrs33.8 yrs
Thailand35.2 yrs36 yrs34.3 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Dan Sai District Population Density

Population Density: 423 / km²

LocationPopulationAreaDensity
Dan Sai District7,66818.1 km²423 / km²
Loei Province2,0593.116 km²661 / km²
Thailand67.6 million514,961.7 km²131 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Dan Sai District Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.

Neighborhoods in Dan Sai District

Percentage of businesses by neighborhood in Dan Sai District

Area Codes

Percentage Area Codes used by businesses in Dan Sai District

Price Distribution

Business distribution by price for Dan Sai District

Human Development Index (HDI)

Statistic composite index of life expectancy, education, and per capita income.

Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4

Dan Sai District Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$2,480$3,795$3,177$4,073$5,352$6,046$9,130$9,301
Total GDP$135.5M$198.4M$148.5M$179.5M$222.6M$230M$300.6M$291.8M
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x

Dan Sai District CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Dan Sai District30,464 tn3.97 tn1,680.8 tons/km²
Loei Province8,038 tn3.9 tn2,579.5 tons/km²
Thailand278,589,420 tn4.12 tn541 tons/km²
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a
Dan Sai District CO2 Emissions
2013 CO2 emissions (tonnes/year)30,464 tn
2013 CO2 emissions (tonnes/year) per capita3.97 tn
2013 CO2 emissions intensity (tonnes/km²/year)1,680.8 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtHigh (9)
FloodMedium (4)
EarthquakeMedium (5.9)
LandslideMedium (6)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:
  1. Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
  2. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
  3. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
  4. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
  5. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.

Dan Sai District

Dan Sai (Thai: ด่านซ้าย; IPA: [dàːn sáːj]) is a district (amphoe) in the western part of Loei Province, northeastern Thailand.

Dan Sai District Wikipedia Page
Image of Dan Sai District

About Our Data

The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.