Kategoria katika Štrba
Wauzaji wa jumlaPostaKivutio cha WataliBaa, baa na MikahawaMaduka ya vyakula na makubwaMikahawaMadaktari wa menoChumba cha LikizoGhorofa yenye VyumbaUkodishaji wa Ghorofa za LikizoManunuziYa jumla ya kuhifadhiKibanda ya kambiUwanja wa michezoChumba cha kupanga cha NdaniHoteli na motelsHotelsKampuni ya BasiKitanda na kifungua kinywaMalazi ya KujihudumiaNyumba ndogoNyumba ya WageniVyumba vya kulala
Viwanda
Mgawanyo wa biashara kwa sekta katika Štrba
| Maelezo ya Viwanda | Idadi ya Uanzishwaji | Umri wa Wastani wa Biashara |
|---|---|---|
| Nyingine malazi | 67 | 23 year |
| Hoteli na motels | 16 | — |
| Mikahawa | 14 | — |
| Manunuzi | 10 | — |
| Manunuzi mengineyo | 9 | — |
| Ujenzi wa nyumba | 8 | — |
| Wauzaji wa jumla | 8 | — |
| Maduka ya vyakula na makubwa | 7 | — |
| Za saluni | 7 | — |
| Misitu na ukataji miti | 6 | — |
Ukweli wa Štrba
| Area | 1.3 km² |
| Idadi ya Watu | 1,727 |
| Idadi ya Wanaume | 847 (49.0%) |
| Idadi ya Wanawake | 880 (51.0%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +13.3% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | +2.1% |
| Umri Wastani | Miaka 40.2 (Mwanamume: 37.7, Mwanamke: 43.1) |
| Pato la Taifa kwa kila mtu (PPP) | $20,277 (2022) |
| Mitaa | Tatranská Štrba |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 49.05913, 20.07975 |
| Posta | 059 38, 059 41 |
Ramani ya Štrba
Ramani inayoingiliana
Idadi ya watu ya Štrba
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 1,524 | 1,775 | 1,691 | 1,488 | 1,727 | 1,752 | 1,658 |
| Uzani wa Idadi ya Watu | 1,219.2 / km² | 1,420 / km² | 1,352.8 / km² | 1,190.4 / km² | 1,381.6 / km² | 1,401.6 / km² | 1,326.4 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Štrba kutoka 2000 hadi 2020
Ongezeko la 2.1% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Štrba | +13.3% | -2.7% | +2.1% |
| Prešovský kraj | — | — | — |
| Slovakia | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Štrba
Umri wa wastani: miaka 40.2
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Štrba | 40.2 yrs | 43.1 yrs | 37.7 yrs |
| Prešovský kraj | 34.6 yrs | 36 yrs | 33.4 yrs |
| Slovakia | 37.7 yrs | 39.3 yrs | 36.1 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Štrba
Msongamano wa watu: 1,382 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Štrba | 1,727 | 1.25 km² | 1,382 / km² |
| Prešovský kraj | 828,243 | 8,937.6 km² | 92.7 / km² |
| Slovakia | 5.4 million | 48,996.2 km² | 111 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Štrba
Idadi ya watu inayokadiriwa kutoka 0 hadi 2100
Vyanzo:
- JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [Kiunga] 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.
Simu Kiambishi
Nambari za eneo la Asilimia zinazotumiwa na wafanyibiashara katika Štrba
Posta
Asilimia ya biashara kwa Misimbo ya Posta katika Štrba
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Štrba
Kielelezo cha Maendeleo ya Binadamu (HDI)
Faharisi ya takwimu ya kitisho cha kuishi, elimu, na mapato ya kila mtu.
Chanzo: [Kiunga] 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
Pato la Taifa (GDP) la Štrba
Pato la Taifa kwa kila mtu, PPP ($ za kimataifa za 2017)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| Pato la Taifa kwa kila mtu | $8,346 | $9,089 | $8,977 | $11,754 | $15,052 | $18,572 | $20,700 | $20,277 |
| Jumla ya Pato la Taifa | $26.7M | $29.5M | $28.9M | $37.4M | $47.7M | $58.5M | $65.7M | $65.1M |
Chanzo: [Kiunga] 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
Utoaji wa CO2 wa Štrba
Carbon Dioxide (CO2) Uzalishaji wa hewa kwa Capita huko Tonnes kwa mwaka
| Location | Uzalishaji wa CO2 | Uzalishaji wa CO2 kwa Capita | Uzito wa uzalishaji wa CO2 |
|---|---|---|---|
| Štrba | 16,153 tn | 9.35 tn | 12,922.6 tons/km² |
| Prešovský kraj | 7,741,222 tn | 9.35 tn | 866.1 tons/km² |
| Slovakia | 56,497,175 tn | 10.42 tn | 1,153.1 tons/km² |
Vyanzo: [Kiunga] 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
Utoaji wa CO2 wa Štrba
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 16,153 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 9.35 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 12,922.6 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Juu (10) |
| Mtetemeko wa ardhi | Wastani (4) |
| Udhibiti wa ardhi | Wastani (6) |
* Hatari, haswa juu ya mafuriko au maporomoko ya ardhi, inaweza kuwa sio kwa eneo lote.
Vyanzo:
- 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. 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.
Matetemeko ya Ardhi ya hivi karibuni
Uzito 3.0 na zaidi
| Tarehe▼ | Wakati↕ | Magnitude↕ | Distance↕ | Undani↕ | Location↕ | Kiunga |
|---|---|---|---|---|---|---|
| 6/25/06 | 1:12 AM | 3.1 | 21.4 km | 5,000 m | Slovakia | usgs.gov |
| 1/29/05 | 5:16 PM | 3.6 | 46.8 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 1/23/05 | 11:33 PM | 3 | 44.1 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 12/9/04 | 1:09 AM | 3.4 | 44.2 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 12/2/04 | 6:25 PM | 4.2 | 47.1 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 11/30/04 | 5:18 PM | 4.8 | 47.1 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 8/29/02 | 3:41 PM | 3.3 | 95.1 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 6/21/00 | 2:15 AM | 3 | 89.1 km | 5,000 m | Poland-Slovakia border region | usgs.gov |
| 9/11/95 | 4:02 AM | 3.5 | 52.7 km | 10,000 m | Poland-Slovakia border region | usgs.gov |
| 6/28/92 | 11:18 PM | 4 | 47.4 km | 8,000 m | Slovakia | usgs.gov |
Chanzo: U.S. Geological Survey (USGS)
Kuhusu Takwimu Zetu
Data katika ukurasa huu inakadiriwa kwa kutumia zana na rasilimali kadhaa zinazopatikana hadharani. Inatolewa bila dhamana, na inaweza kuwa na makosa. Tumia kwa hatari yako mwenyewe.