Categories in Roes

Industries

Business Distribution by Industry in Roes

Industry DescriptionNumber of Establishments
Churches5

Roes Facts

Area0.4 km²
Population147
Population change (1975 to 2020)-66.8%
Population change (2000 to 2020)-67.3%
Area Codes2672
Local Time
TimezoneCentral European Summer Time
Lat & Lng50.24281, 7.25836

Map of Roes

Interactive Map

Roes Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population443440450437147136139
Population Density1,181.3 / km²1,173.3 / km²1,200 / km²1,165.3 / km²392 / km²362.7 / km²370.7 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Roes Population change from 2000 to 2020

Decrease of 67.3% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Roes-66.8%-66.6%-67.3%
Rhineland-Palatinate
Germany
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Roes Population Density

Population Density: 392 / km²

LocationPopulationAreaDensity
Roes1470.375 km²392 / km²
Rhineland-Palatinate4 million19,855.3 km²203 / km²
Germany80.7 million358,179.8 km²225 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Roes 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.

Area Codes

Percentage Area Codes used by businesses in Roes

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

Roes CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Roes656 tn4.47 tn1,750.5 tons/km²
Rhineland-Palatinate18,526,864 tn4.59 tn933.1 tons/km²
Germany755,339,039 tn9.36 tn2,108.8 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
Roes CO2 Emissions
2013 CO2 emissions (tonnes/year)656 tn
2013 CO2 emissions (tonnes/year) per capita4.47 tn
2013 CO2 emissions intensity (tonnes/km²/year)1,750.5 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (9)
EarthquakeMedium (4)

* 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. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
  3. 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.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

DateTimeMagnitudeDistanceDepthLocationLink
2/14/1112:43 PM3.942.9 km12,000 mGermanyusgs.gov
4/11/1011:16 AM3.413.6 km5,000 mGermanyusgs.gov
9/29/081:36 PM318.6 km14,800 mGermanyusgs.gov
1/16/0810:42 AM3.597.4 km1,000 mGermanyusgs.gov
11/20/078:22 AM340.4 km10,000 mGermanyusgs.gov
8/3/072:58 AM4.418 km10,000 mGermanyusgs.gov
4/11/075:01 PM3.39.4 km11,500 mGermanyusgs.gov
11/18/068:26 AM3.18.9 km10,000 mGermanyusgs.gov
10/22/062:14 PM398.7 km1,000 mGermanyusgs.gov
10/1/0612:17 AM329.8 km4,000 mGermanyusgs.gov

Roes

Roes is an Ortsgemeinde – a municipality belonging to a Verbandsgemeinde, a kind of collective municipality – in the Cochem-Zell district in Rhineland-Palatinate, Germany. It belongs to the Verbandsgemeinde of Kaisersesch.

Roes Wikipedia Page
Image of Roes

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.