Categories in Pavas
Auto Machine ShopAuto Parts StoreCar repairCar Repair and MaintenanceCar WashMechanicMotorcycle DealerMotorcycle Parts StoreMotorcycle repairBeauty Product SupplierDigital PrinterDigital Printing ServiceFactoryHandicraftImport Export CompanySecurity System SupplierWholesalersClothing storesFashion Accessories StoreJewelers and watchesShoe storesUniform StoreAssociation or OrganizationCatholic ChurchChristian ChurchChurchesCommunity CenterGovernment OfficeMilitary BaseNon-Governmental OrganizationNon-Profit OrganizationReligious OrganizationShrineState Government OfficeCell phone accessory storeComputer Repair ServiceElectronics StoreMobile Phone Repair ShopSoftware CompanyBuilding Construction ContractorConstruction of buildingsConstruction of housesHardware storeHome Goods StoreHousing DevelopmentPaint StoreEducationEducation CenterGymnastics CenterGraphic Designer
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Industries
Business Distribution by Industry in Pavas
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Restaurants | 129 | — |
| Shopping | 127 | — |
| Corporate management | 96 | 26 years |
| Grocery stores and supermarkets | 84 | — |
| Beauty salons | 57 | — |
| Education | 52 | — |
| Health and medical | 44 | — |
| Car repair | 38 | — |
| Public parks | 36 | — |
| Clothing stores | 32 | — |
| Apartments | 30 | — |
| Bakeries | 29 | — |
| Electronics stores | 27 | — |
Pavas Facts
| Area | 7.8 km² |
| Population | 62,907 |
| Male Population | 29,845 (47.4%) |
| Female Population | 33,062 (52.6%) |
| Population change (1975 to 2020) | +10.5% |
| Population change (2000 to 2020) | -16.7% |
| Median Age | 29.1 years (Male: 27.9, Female: 30.4) |
| Neighborhoods | Pavas, Pavas Centro, Rohrmoser, Aeropuerto, Nunciatura |
| Local Time | |
| Timezone | Central Standard Time |
| Lat & Lng | 9.94333, -84.13454 |
| Postal Codes | 10109 |
Map of Pavas
Interactive Map
Pavas Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 56,934 | 69,246 | 75,549 | 71,579 | 62,907 | 60,848 | 58,416 |
| Population Density | 7,346.3 / km² | 8,935 / km² | 9,748.3 / km² | 9,236 / km² | 8,117 / km² | 7,851.4 / km² | 7,537.5 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPavas Population change from 2000 to 2020
Decrease of 16.7% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Pavas | +10.5% | -9.2% | -16.7% |
| San José Province | — | — | — |
| Costa Rica | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Pavas Median Age
Median Age: 29.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Pavas | 29.1 yrs | 30.4 yrs | 27.9 yrs |
| San José Province | 29.8 yrs | 30.9 yrs | 28.8 yrs |
| Costa Rica | 28.5 yrs | 29.2 yrs | 27.9 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Pavas Population Density
Population Density: 8,117 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Pavas | 62,907 | 7.8 km² | 8,117 / km² |
| San José Province | 1.5 million | 4,968.7 km² | 307 / km² |
| Costa Rica | 4.8 million | 51,352.9 km² | 93.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Pavas Historical and Projected Population
Estimated Population from 600 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 Pavas
Percentage of businesses by neighborhood in Pavas
Price Distribution
Business distribution by price for Pavas
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
Pavas CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Pavas | 193,761 tn | 3.08 tn | 25,001.4 tons/km² |
| San José Province | 4,070,866 tn | 2.67 tn | 819.3 tons/km² |
| Costa Rica | 12,018,133 tn | 2.51 tn | 234 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
Pavas CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 193,761 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.08 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 25,001.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Low (2) |
| Earthquake | High (10) |
| Landslide | Medium (6) |
* 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, 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.
- 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.
- 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 |
|---|---|---|---|---|---|---|
| 11/23/18 | 4:39 AM | 3.8 | 7.4 km | 10,000 m | 1km S of Salitral, Costa Rica | usgs.gov |
| 11/17/18 | 2:12 PM | 4.7 | 28.5 km | 18,860 m | 18km NNE of Angeles, Costa Rica | usgs.gov |
| 8/15/18 | 6:15 AM | 4.5 | 30.8 km | 10,000 m | 6km S of Tejar, Costa Rica | usgs.gov |
| 7/27/18 | 5:50 PM | 4 | 26.7 km | 11,770 m | 9km ESE of Tejar, Costa Rica | usgs.gov |
| 7/27/18 | 3:33 PM | 3.5 | 22.9 km | 11,130 m | 7km SSE of San Ignacio, Costa Rica | usgs.gov |
| 3/23/18 | 7:37 AM | 4.8 | 32.1 km | 36,650 m | 9km W of San Marcos, Costa Rica | usgs.gov |
| 3/3/18 | 11:25 PM | 4.2 | 29.5 km | 88,670 m | 7km SE of Rio Segundo, Costa Rica | usgs.gov |
| 11/29/17 | 2:34 AM | 3.3 | 31.4 km | 13,040 m | 22km W of Guapiles, Costa Rica | usgs.gov |
| 9/28/17 | 1:41 AM | 3.4 | 27.9 km | 12,210 m | 8km N of Cot, Costa Rica | usgs.gov |
| 9/1/16 | 3:00 AM | 4.2 | 16.9 km | 78,550 m | 3km ENE of Sabanilla, Costa Rica | usgs.gov |
Source: U.S. Geological Survey (USGS)
Pavas District
Pavas District, ninth of its kind in San José Canton, is the most populated of 470 districts in Costa Rica. The district comprises Tobías Bolaños International Airport, San José's domestic airport.
Pavas 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.