Industries

Business Distribution by Industry in Raman District

Raman District Facts

Area23.5 km²
Population6,354
Male Population3,149 (49.6%)
Female Population3,205 (50.4%)
Population change (1975 to 2020)+37.9%
Population change (2000 to 2020)-17.8%
Median Age32.3 years (Male: 31.5, Female: 33.1)
GDP per capita (PPP)$3,332 (2022)
NeighborhoodsKhlong Toei, Yan Nawa, Huai Khwang, Bang Khun Thian, Pathum Wan
Local Time
TimezoneIndochina Time
Lat & Lng6.47862, 101.42414
Postal Codes95140

Map of Raman District

Interactive Map

Raman District Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population4,6076,2307,7287,2506,3545,9955,861
Population Density196 / km²265.1 / km²328.9 / km²308.5 / km²270.4 / km²255.1 / km²249.4 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Raman District Population change from 2000 to 2020

Decrease of 17.8% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Raman District+37.9%+2%-17.8%
Yala Province
Thailand
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Raman District Median Age

Median Age: 32.3 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Raman District32.3 yrs33.1 yrs31.5 yrs
Yala Province32.2 yrs33 yrs31.3 yrs
Thailand35.2 yrs36 yrs34.3 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Raman District Population Density

Population Density: 270 / km²

LocationPopulationAreaDensity
Raman District6,35423.5 km²270 / km²
Yala Province438,8934,701.6 km²93.3 / km²
Thailand67.6 million514,961.7 km²131 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Raman District Historical and Projected Population

Estimated Population from 1730 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 Raman District

Percentage of businesses by neighborhood in Raman District

Area Codes

Percentage Area Codes used by businesses in Raman District

Postal Codes

Percentage of businesses by Postal Codes in Raman District

Price Distribution

Business distribution by price for Raman 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

Raman District Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$2,950$3,322$2,699$2,867$4,088$3,191$3,393$3,332
Total GDP$40M$46.5M$37M$41M$61.8M$48.5M$48.3M$46.3M
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

Raman District CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Raman District25,436 tn4 tn1,082.4 tons/km²
Yala Province1,813,383 tn4.13 tn385.7 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
Raman District CO2 Emissions
2013 CO2 emissions (tonnes/year)25,436 tn
2013 CO2 emissions (tonnes/year) per capita4 tn
2013 CO2 emissions intensity (tonnes/km²/year)1,082.4 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (10)
EarthquakeLow (2)
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. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
  4. 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.

Raman District

Raman (Thai: รามัน) is a district (Amphoe) in the northeastern part of Yala Province, southern Thailand.

Raman District Wikipedia Page

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.