Kategoria katika Pilis
Kituo cha GesiMarekebisho na Matengenezo ya MagariWauzaji wa Magari na Magari MadogoWauzaji wa jumlaMaduka ya nguoHuduma za BaruaHuduma za KompyutaFundi umemeHuduma ya Ufungaji wa UmemeMakontrakta wa kupauaMkadarasi wa HVACUchoraji na rangi ya makandarasiUjenzi mwingineUjenzi wa nyumbaUjenzi wa Nyumba za KuishiElimuKituo cha ElimuKivutio cha WataliBaa, baa na MikahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateVyakula Maalum na vya KimataifaMifumo ya kiusalamaWakala wa BimaMakaburiniZa saluniHuduma za Ushauri na ElekeziShirika la UtangazajiUsalama wa kibinafsiJengo la MakaziSehemu ya Nyumba za MajumuiDuka KuuDuka la dawaDuka la TumbakuManunuziWanaoshughulikia MauaYa jumla ya kuhifadhiHifadhi ya vifurushiHaifikiwi
Viwanda
Mgawanyo wa biashara kwa sekta katika Pilis
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Ujenzi wa majengo | 39 |
| Maduka ya vyakula na makubwa | 33 |
| Mikahawa | 30 |
| Manunuzi | 27 |
| Wauzaji wa jumla | 18 |
| Wahasibu | 16 |
| Ujenzi mwingine | 16 |
| Uuzaji kijumla wa vifaa vya ujenzi | 16 |
| Udhibiti wa shirika | 15 |
| Kuhusu magari | 12 |
| Utengenezaji wa magari | 12 |
| Uokaji mikate | 12 |
| Afya na matibabu | 11 |
| Ufungaji umeme | 11 |
| Vyakula vyote na Vinywaji | 11 |
Ukweli wa Pilis
| Area | 5.9 km² |
| Idadi ya Watu | 9,126 |
| Idadi ya Wanaume | 4,456 (48.8%) |
| Idadi ya Wanawake | 4,670 (51.2%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +3.0% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -0.9% |
| Umri Wastani | Miaka 38.8 (Mwanamume: 36.9, Mwanamke: 41) |
| Pato la Taifa kwa kila mtu (PPP) | $25,925 (2022) |
| Mitaa | Zsidónegyed, Mártonhegy, Lipótváros, XX. kerület, Józsefváros |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Majira ya joto za Ulaya ya Kati |
| Latitudo na Longitudo | 47.28904, 19.54848 |
| Posta | 2721 |
Ramani ya Pilis
Ramani inayoingiliana
Idadi ya watu ya Pilis
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 8,858 | 9,206 | 9,212 | 8,713 | 9,126 | 9,060 | 8,708 |
| Uzani wa Idadi ya Watu | 1,507.7 / km² | 1,567 / km² | 1,568 / km² | 1,483.1 / km² | 1,553.4 / km² | 1,542.1 / km² | 1,482.2 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Pilis kutoka 2000 hadi 2020
Kupungua kwa 0.9% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Pilis | +3% | -0.9% | -0.9% |
| Pest (wilaya) | — | — | — |
| Hungaria | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Pilis
Umri wa wastani: miaka 38.8
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Pilis | 38.8 yrs | 41 yrs | 36.9 yrs |
| Pest (wilaya) | 39.3 yrs | 40.9 yrs | 37.8 yrs |
| Hungaria | 40.8 yrs | 43.2 yrs | 38.6 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Pilis
Msongamano wa watu: 1,553 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Pilis | 9,126 | 5.9 km² | 1,553 / km² |
| Pest (wilaya) | 1.2 million | 6,390.3 km² | 188 / km² |
| Hungaria | 9.8 million | 93,010.9 km² | 106 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Pilis
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 Pilis
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Pilis
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 Pilis
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 | $17,808 | $12,638 | $14,927 | $20,250 | $20,383 | $21,364 | $22,581 | $25,925 |
| Jumla ya Pato la Taifa | $253.9M | $183.2M | $217.8M | $295.6M | $300.1M | $313.2M | $327.1M | $376M |
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 Pilis
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 |
|---|---|---|---|
| Pilis | 48,457 tn | 5.31 tn | 8,248 tons/km² |
| Pest (wilaya) | 6,395,064 tn | 5.34 tn | 1,000.7 tons/km² |
| Hungaria | 48,384,016 tn | 4.92 tn | 520.2 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 Pilis
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 48,457 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 5.31 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 8,248 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mtetemeko wa ardhi | Wastani (4) |
* 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. 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 |
|---|---|---|---|---|---|---|
| 1/19/14 | 1:34 AM | 4 | 86.2 km | 3,100 m | 4km ESE of Balassagyarmat, Hungary | usgs.gov |
| 6/5/13 | 6:45 PM | 4.1 | 84.8 km | 6,200 m | 4km ENE of Ersekvadkert, Hungary | usgs.gov |
| 4/22/13 | 10:28 PM | 4.4 | 63.3 km | 13,000 m | 1km WNW of Heves, Hungary | usgs.gov |
| 1/29/11 | 5:41 PM | 4.3 | 95.9 km | 10,000 m | Hungary | usgs.gov |
| 12/31/06 | 1:39 PM | 4.1 | 23.6 km | 5,200 m | Hungary | usgs.gov |
| 9/15/06 | 9:02 PM | 3.1 | 23.8 km | 10,000 m | Hungary | usgs.gov |
| 6/21/03 | 8:05 PM | 3.8 | 36.4 km | 10,000 m | Hungary | usgs.gov |
| 10/23/02 | 2:52 AM | 4 | 52.9 km | 10,000 m | Hungary | usgs.gov |
| 10/12/02 | 6:49 PM | 3.4 | 44.2 km | 5,000 m | Hungary | usgs.gov |
| 9/18/95 | 8:26 AM | 3.7 | 84.1 km | 10,000 m | Hungary | 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.