Postal Code 08274 - Layo, Cusco Region

Cusco Region | Peru
Primary CityLayo
Area of Postal Code 082740.684 km²
Population5,439
Population change from 1975 to 2015+60333.3%
Population change from 2000 to 2015-14.0%
TimezonePeru Standard Time
Coordinates-14.493860587002644° / -71.15523330012331°
Related Postal Codes08254, 08255, 08257, 08258, 08260, 08264, 08270, 08275, 08277, 08278

Map of Postal Code 08274 - Layo, Cusco Region

Interactive Map

Postal Code 08274 - Layo, Cusco Region Population

Years 1975 to 2020

Data19751990200020152020
Population96,5526,3225,4395,347
Population Density13.2 / km²9,585.2 / km²9,248.7 / km²7,956.9 / km²7,822.3 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 08274 - Layo, Cusco Region Population change from 2000 to 2015

Decrease of 14% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Postal Code 08274 - Layo, Cusco Region+60333.3%-17%-14%
Cusco Region+63.1%+21.9%+9.7%
Peru+104.4%+42.6%+20.2%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 08274 Population Density

Population Density: 7,957 / km²

LocationPopulationAreaDensity
Postal Code 082745,4390.684 km²7,957 / km²
Cusco Region1.3 million71,993.8 km²18.5 / km²
Peru31 million1,291,975 km²24 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 08274 - Layo, Cusco Region Historical and Projected Population

Estimated Population from 1975 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.

Industries

Business Distribution by Industry in Postal Code 08274 - Layo, Cusco Region

Industry DescriptionNumber of Establishments
Grocery stores and supermarkets8

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

Postal Code 08274 CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 0827412,466 tn2.29 tn18,236.9 tons/km²
Cusco Region3,052,534 tn2.29 tn42.4 tons/km²
Peru71,626,946 tn2.31 tn55.4 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
Postal Code 08274 CO2 Emissions
2013 CO2 emissions (tonnes/year)12,466 tn
2013 CO2 emissions (tonnes/year) per capita2.29 tn
2013 CO2 emissions intensity (tonnes/km²/year)18,236.9 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtMedium (4)
FloodHigh (8)
EarthquakeMedium (6)
* Risk, particularly concerning flood or landslide, may not be for the entire area.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

DateTimeMagnitudeDistanceDepthLocationLink
6/1/1910:55 AM4.612 km26,210 m3km SSW of Marangani, Peruusgs.gov
5/16/194:49 PM4.425 km32,049 m17km SE of Mosoc Cancha, Peruusgs.gov
5/4/1912:31 PM4.285.1 km130,410 m58km NNW of Ccolo, Peruusgs.gov
2/13/198:02 PM4.489.4 km117,010 m43km NNW of Ccolo, Peruusgs.gov
2/9/1912:16 PM4.480.2 km180,700 m16km SSW of Ayaviri, Peruusgs.gov
1/22/1910:39 PM4.384 km91,510 m35km SSE of Santo Tomas, Peruusgs.gov
1/6/193:06 AM584.5 km30,600 m42km SW of Ayaviri, Peruusgs.gov
10/27/181:11 AM4.570.8 km19,810 m26km SW of Ayaviri, Peruusgs.gov
10/24/1811:03 PM4.397.7 km43,020 m37km SW of Urcos, Peruusgs.gov
10/16/187:45 PM4.473.6 km109,630 m54km SW of Checca, Peruusgs.gov
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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.