Kategoria katika Lamas
Kituo cha GesiMakanikaPikipiki kukarabatiMzalishi MifugoSanaa iliyoundwa kwa mkonoShamba la KukuUkulimaUshirika wa KilimoUzalishaji wa KilimoDuka la nguo na uremboMaduka ya nguoMtangazaji wa RedioSimu ya mkononi madukaBarazaDiniKituo cha JumuiyaKlabu ya KiunganiMakanisaOfisi ya SerikaliDuka la Matengenezo ya Simu za MkononiDuka la Bidhaa za NyumbaniDuka la vipuri vya chumaMajengo ya MakaziChekecheaElimuKituo cha ElimuShule ya MwanzoShule ya UpiliKivutio cha WataliMahameViwanja na ArenasBaa, baa na MikahawaBaa na Chumba cha Vyakula VilivyobanikwaBaa ya Chakula KizuriBaa ya SpresoDuka la BarafuGastropubInternet cafesKahawa migahawaMaduka ya kahawaMaduka ya vyakula na makubwaMikahawaUokaji mikateVitalu vya na vifaa bustaniBenkiHospitaliKituo cha Afya cha JamiiMakaburiniMatibabu maabaraVinyozi
Inaonyesha 1-50 kati ya 82
Viwanda
Mgawanyo wa biashara kwa sekta katika Lamas
| Maelezo ya Viwanda | Idadi ya Uanzishwaji |
|---|---|
| Mikahawa | 88 |
| Manunuzi | 37 |
| Makanisa | 34 |
| Elimu | 33 |
| Matibabu maabara | 31 |
| Baa, baa na Mikahawa | 30 |
| Hoteli na motels | 28 |
| Umma mbuga | 23 |
| Usimamizi wa umma | 20 |
| Nyingine malazi | 19 |
| Kahawa migahawa | 18 |
Ukweli wa Lamas
| Area | 105.7 km² |
| Idadi ya Watu | 14,910 |
| Idadi ya Wanaume | 7,465 (50.1%) |
| Idadi ya Wanawake | 7,445 (49.9%) |
| Mabadiliko ya idadi ya watu (1975 to 2020) | +16.0% |
| Mabadiliko ya idadi ya watu (2000 to 2020) | -3.2% |
| Umri Wastani | Miaka 26.8 (Mwanamume: 26.6, Mwanamke: 27.1) |
| Pato la Taifa kwa kila mtu (PPP) | $2,604 (2022) |
| Mitaa | Tingo María |
| wakati wa Kawaida | |
| Ukanda wa saa | Saa za Wastani za Peru |
| Latitudo na Longitudo | -6.41667, -76.53333 |
| Posta | 22110, 22111, 22120, 22130, 22140, More |
Ramani ya Lamas
Ramani inayoingiliana
Idadi ya watu ya Lamas
Miaka 1975 hadi 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Idadi ya Watu | 12,853 | 15,306 | 15,404 | 13,840 | 14,910 | 15,347 | 15,829 |
| Uzani wa Idadi ya Watu | 121.6 / km² | 144.8 / km² | 145.8 / km² | 131 / km² | 141.1 / km² | 145.2 / km² | 149.8 / km² |
* Iliyokadiriwa
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up gridMabadiliko ya idadi ya watu ya Lamas kutoka 2000 hadi 2020
Kupungua kwa 3.2% kutoka mwaka 2000 hadi 2020
| Location | Mabadiliko tangu 1975 | Mabadiliko tangu 1990 | Mabadiliko tangu 2000 |
|---|---|---|---|
| Lamas | +16% | -2.6% | -3.2% |
| Región de San Martín | — | — | — |
| Peru | — | — | — |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Umri wa wastani wa Lamas
Umri wa wastani: miaka 26.8
| Location | Umri Wastani | Umri wa Kati (Kike) | Umri wa Kati (Mwanaume) |
|---|---|---|---|
| Lamas | 26.8 yrs | 27.1 yrs | 26.6 yrs |
| Región de San Martín | 22.1 yrs | 21.6 yrs | 22.5 yrs |
| Peru | 25.1 yrs | 25.6 yrs | 24.6 yrs |
Vyanzo: CIESIN (Center for International Earth Science Information Network)
Msongamano wa watu wa Lamas
Msongamano wa watu: 141 / km²
| Location | Idadi ya Watu | Area | Msongamano |
|---|---|---|---|
| Lamas | 14,910 | 105.7 km² | 141 / km² |
| Región de San Martín | 966,284 | 71,509.6 km² | 13.5 / km² |
| Peru | 31 million | 1,291,975 km² | 24 / km² |
Vyanzo: JRC (European Commission's Joint Research Centre) kazi ya GHS built-up grid
Idadi ya watu ya kihistoria na inayokadiriwa ya Lamas
Idadi ya watu inayokadiriwa kutoka 1900 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 Lamas
Mgawanyo wa bei
Ugawaji wa biashara kwa bei ya Lamas
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 Lamas
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 | $3,797 | $3,197 | $2,756 | $2,857 | $3,473 | $3,842 | $2,620 | $2,604 |
| Jumla ya Pato la Taifa | $6.4M | $5.6M | $4.9M | $5.1M | $6M | $6.7M | $4.9M | $4.9M |
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 Lamas
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 |
|---|---|---|---|
| Lamas | 32,216 tn | 2.16 tn | 304.8 tons/km² |
| Región de San Martín | 2,048,793 tn | 2.12 tn | 28.7 tons/km² |
| Peru | 71,626,946 tn | 2.31 tn | 55.4 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 Lamas
| Utoaji wa CO2 wa 2013 (tani/mwaka) | 32,216 tn |
| Utoaji wa CO2 wa 2013 (tani/mwaka) kwa mtu | 2.16 tn |
| Nguvu ya utoaji wa CO2 wa 2013 (tani/km²/mwaka) | 304.8 tons/km² |
Hatari ya Hatari za Asili
Hatari ya jamaa kati ya 10
| Hatari | Ngazi ya hatari |
|---|---|
| Mafuriko | Juu (8) |
| Mtetemeko 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. 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 |
|---|---|---|---|---|---|---|
| 7/19/17 | 10:05 AM | 4.3 | 54.9 km | 64,330 m | 7km NE of Jepelacio, Peru | usgs.gov |
| 12/29/16 | 3:38 PM | 4.5 | 80.7 km | 4,490 m | 36km SE of Chazuta, Peru | usgs.gov |
| 9/15/16 | 6:42 AM | 4.5 | 23.4 km | 19,740 m | 5km W of Tabalosos, Peru | usgs.gov |
| 7/16/16 | 1:15 PM | 4.2 | 55.1 km | 57,150 m | 33km S of Yurimaguas, Peru | usgs.gov |
| 2/11/16 | 10:25 PM | 4.4 | 38.4 km | 54,800 m | 23km E of Jepelacio, Peru | usgs.gov |
| 1/25/16 | 8:28 AM | 4.7 | 44.8 km | 29,490 m | 24km ENE of Jepelacio, Peru | usgs.gov |
| 1/7/16 | 2:55 PM | 4.5 | 58.5 km | 10,000 m | 20km NW of Saposoa, Peru | usgs.gov |
| 1/4/15 | 10:09 PM | 4.4 | 50 km | 69,890 m | 16km NNE of Chazuta, Peru | usgs.gov |
| 9/18/14 | 4:19 AM | 4 | 64.8 km | 103,610 m | 21km S of Yurimaguas, Peru | usgs.gov |
| 8/23/14 | 6:15 PM | 4.6 | 54.5 km | 59,990 m | 47km W of Yurimaguas, Peru | 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.