Businesses in Saal

Industries

Business Distribution by Industry in Saal

Industry Description	Number of Establishments	Average Google Rating
Shopping	36	4.5
Other accommodation	21	4.2
Health and medical	17	4.1
Loan companies	15	4.5
Car repair	14	4.4
Grocery stores and supermarkets	14	4.6
All food and beverage	13	4.3
General contractors	11	4.6
Moving companies	9	3.7
Freight/commercial transport	9	3.7
Tractors and farm equipment	9	4.3
Restaurants	8	4.4
Freight forwarding	8	3.7
Beauty salons	8	4.2
Other construction	7	4
Holiday homes, cabins and resorts	7	4.1
Financial services	7	4.9
Technical construction services	6	3
Accountants	6	—
Hairdressers	6	4.2
Electrical installation	6	4.7
Travel agencies	6	4
Plumbing installation and repair	5	5
Wholesale of construction supplies	5	4.7
Education	5	4.7
Driving schools	5	4.5
Public administration	5	5

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Saal Facts

Area	5.1 km²
Population	5,432
Male Population	2,660 (49.0%)
Female Population	2,772 (51.0%)
Population change (1975 to 2020)	+15.6%
Population change (2000 to 2020)	-0.3%
Median Age	42.9 years (Male: 42.1, Female: 43.8)
Neighborhoods	Obersaal, Untersaal, Mitterfecking, Reißing, Neuendorf
Local Time
Timezone	Central European Summer Time
Lat & Lng	48.90099, 11.93196
Postal Codes	93342

Map of Saal

Interactive Map

Saal Population

Years 1975 to 2020

Data	1975	1990	2000	2015	2020
Population	4,699	4,984	5,450	5,476	5,432
Population Density	928.2 / km²	984.5 / km²	1,076.5 / km²	1,081.7 / km²	1,073 / km²

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Saal Population change from 2000 to 2015

Increase of 0.5% from year 2000 to 2015

Location	Change since 1975	Change since 1990	Change since 2000
Saal	+16.5%	+9.9%	+0.5%
Bavaria	+18.8%	+11.8%	+3.9%
Germany	+2.6%	+2.2%	-1.5%

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Saal Median Age

Median Age: 42.9 years

Location	Median Age	Median Age (Female)	Median Age (Male)
Saal	42.9 yrs	43.8 yrs	42.1 yrs
Bavaria	43.8 yrs	44.9 yrs	42.8 yrs
Germany	44.8 yrs	46 yrs	43.6 yrs

Sources: CIESIN (Center for International Earth Science Information Network)

Saal Population Density

Population Density: 1,073 / km²

Location	Population	Area	Density
Saal	5,432	5.1 km²	1,073 / km²
Bavaria	12.7 million	70,548.3 km²	180 / km²
Germany	80.7 million	358,179.8 km²	225 / km²

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Saal Historical and Projected Population

Estimated Population from 0 to 2100

Sources:

JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
CIESIN (Center for International Earth Science Information Network)
[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 Saal

Percentage of businesses by neighborhood in Saal

Area Codes

Percentage Area Codes used by businesses in Saal

Postal Codes

Percentage of businesses by Postal Codes in Saal

Price Distribution

Business distribution by price for Saal

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

Saal CO2 Emissions

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

Location	CO2 Emissions	CO2 Emissions Per Capita	CO2 Emissions Intensity
Saal	53,040 tn	9.76 tn	10,477 tons/km²
Bavaria	124,278,407 tn	9.81 tn	1,761.6 tons/km²
Germany	755,339,039 tn	9.36 tn	2,108.8 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

Saal CO2 Emissions

2013 CO2 emissions (tonnes/year)	53,040 tn
2013 CO2 emissions (tonnes/year) per capita	9.76 tn
2013 CO2 emissions intensity (tonnes/km²/year)	10,477 tons/km²

Natural Hazards Risk

Relative risk out of 10

Hazard	Risk Level
Flood	High (8)
Earthquake	Low (2)

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

Sources:

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.
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.
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

Date▼	Time↕	Magnitude↕	Distance↕	Depth↕	Location↕	Link
8/2/81	2:15 PM	3.1	99.8 km	10,000 m	Germany	usgs.gov

Source: U.S. Geological Survey (USGS)

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.